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How AI is Infiltrating Labor Union Contracts, Strategies
|
How AI is Infiltrating Labor Union Contracts, Strategies
|
https://ibew177.org
|
[] |
An in-depth analysis of how artificial intelligence technologies are increasingly influencing labor union contract negotiations and strategic planning.
|
An in-depth analysis of how artificial intelligence technologies are increasingly influencing labor union contract negotiations and strategic planning. The article examines both potential benefits and concerns for workers as unions adapt to technological changes in the workplace. Source: publicsource.org
| 2025-02-26T00:00:00 |
2025/02/26
|
https://ibew177.org/content/how-ai-infiltrating-labor-union-contracts-strategies
|
[
{
"date": "2022/12/01",
"position": 18,
"query": "AI labor union"
},
{
"date": "2022/12/01",
"position": 36,
"query": "artificial intelligence labor union"
},
{
"date": "2023/01/01",
"position": 38,
"query": "artificial intelligence labor union"
},
{
"date": "2023/03/01",
"position": 37,
"query": "artificial intelligence labor union"
},
{
"date": "2023/04/01",
"position": 18,
"query": "AI labor union"
},
{
"date": "2023/05/01",
"position": 18,
"query": "AI labor union"
},
{
"date": "2023/07/01",
"position": 24,
"query": "AI labor union"
},
{
"date": "2023/07/01",
"position": 40,
"query": "artificial intelligence labor union"
},
{
"date": "2023/08/01",
"position": 17,
"query": "AI labor union"
},
{
"date": "2023/09/01",
"position": 38,
"query": "artificial intelligence labor union"
},
{
"date": "2023/10/01",
"position": 38,
"query": "artificial intelligence labor union"
},
{
"date": "2024/01/01",
"position": 37,
"query": "artificial intelligence labor union"
},
{
"date": "2024/02/01",
"position": 23,
"query": "artificial intelligence labor union"
},
{
"date": "2024/03/01",
"position": 19,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 18,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 37,
"query": "artificial intelligence labor union"
},
{
"date": "2024/05/01",
"position": 37,
"query": "artificial intelligence labor union"
},
{
"date": "2024/06/01",
"position": 18,
"query": "AI labor union"
},
{
"date": "2024/06/01",
"position": 37,
"query": "artificial intelligence labor union"
},
{
"date": "2024/07/01",
"position": 39,
"query": "artificial intelligence labor union"
},
{
"date": "2024/08/01",
"position": 39,
"query": "artificial intelligence labor union"
},
{
"date": "2024/09/01",
"position": 27,
"query": "AI labor union"
},
{
"date": "2024/09/01",
"position": 39,
"query": "artificial intelligence labor union"
},
{
"date": "2024/10/01",
"position": 18,
"query": "AI labor union"
},
{
"date": "2024/11/01",
"position": 39,
"query": "artificial intelligence labor union"
},
{
"date": "2025/01/01",
"position": 37,
"query": "artificial intelligence labor union"
},
{
"date": "2025/02/01",
"position": 34,
"query": "artificial intelligence labor union"
},
{
"date": "2025/03/01",
"position": 34,
"query": "artificial intelligence labor union"
},
{
"date": "2025/05/01",
"position": 15,
"query": "AI labor union"
},
{
"date": "2025/05/01",
"position": 36,
"query": "artificial intelligence labor union"
},
{
"date": "2025/06/01",
"position": 17,
"query": "AI labor union"
}
] |
Labor Unions and Automation - Conversion Capital
|
Labor Unions and Automation
|
https://conversioncapital.com
|
[
"Conversion Capital"
] |
Labor unions were initially established to protect workers' rights and ensure fair wages and working conditions, but can inadvertently speed up the adoption of ...
|
Technology innovation has found its unlikely ally In periods of increased inflation and economic uncertainty, profit margins contract, the value of purchasing power declines, and there’s an amplified demand for cost-of-living adjustments. Such conditions lead to a delicate balance between maintaining business viability and safeguarding employees’ purchasing power. Consequently, the escalation in labor union activities and strikes becomes more pronounced amidst growing economic uncertainties. Labor unions were initially established to protect workers’ rights and ensure fair wages and working conditions, but can inadvertently speed up the adoption of technology and innovation in ways that might later impact the very workers they were set up to defend. Throughout history, there are many such examples including: 1. Dockworkers and Containerization: In the 1960s and 1970s, labor unions representing dockworkers in major ports went on strikes to demand better wages and working conditions. To make cargo handling more efficient and to reduce dependency on labor, the shipping industry started adopting containerization. This technology dramatically reduced the need for manual labor in ports, leading to significant job losses among dockworkers. 2. Printers and Typesetting Machines: As unions representing printers pushed for better wages and shorter working hours in the 1960s, newspaper companies began to look for cost-effective solutions. The result was the rapid adoption of computerized typesetting systems, which made many traditional printing jobs obsolete. 3. Automotive Industry and Robotics: Strong labor unions in the automotive sector, especially in the U.S., often negotiated for better pay and benefits. In response, car manufacturers started automating many parts of the production process. The introduction of robots in assembly lines led to higher productivity but also resulted in a reduced need for manual labor. 4. Mining and Automation: To address safety concerns, reduce labor costs, and increase efficiency, mining companies began to adopt automated machinery. As unions pushed for better safety standards and wages, the motivation for companies to shift towards automation only grew stronger. 5. Airlines and Ticketing: As unions representing airline booking agents pushed for better conditions, airlines accelerated the adoption of computerized ticketing systems and online platforms, significantly reducing the need for manual ticketing and booking processes. 6. Manufacturing and CAD: As manufacturing labor unions in industries like aerospace and automotive pushed for higher wages, it made economic sense for these industries to adopt Computer-Aided Design (CAD) tools. These tools streamlined the design process, reducing the need for draftsmen and other specialized roles. It’s also hard to forget the events of 1981 when the Professional Air Traffic Controllers Association (PATCO), representing roughly 13,000 members, protested against what they perceived as unfair wages and extended work hours. Ronald Reagan, who was the President at the time, saw this as a significant labor union challenge. He responded with an ultimatum, stating, “They are in violation of the law, and if they do not report for work within 48 hours, they have forfeited their jobs and will be terminated.” He didn’t stop there; he also imposed a lifetime ban on the Federal Aviation Administration (FAA) rehiring the strikers. On August 17 a few weeks later, the FAA started accepting applications for new air-traffic controllers. By October 22, the Federal Labor Relations Authority had decertified PATCO. It’s important to note that the relationship between labor unions and technology adoption isn’t purely antagonistic. However, the above examples do illustrate that pressures from labor unions can sometimes serve as a catalyst for industries to look for technological solutions that reduce reliance on labor. Labor unions and automation Labor unions have played a central role in shaping the working conditions and rights of employees in the US, emerging in the mid/late 19th century through labor federations like the National Labor Union, the Knights of Labor, and the American Federation of Labor. Entering the early 20th century, the New Deal era brought significant legislation such as the Wagner Act of 1935 and the Fair Labor Standards Act of 1938, representing a substantial expansion of federal protection for employees, encompassing collective bargaining, fair wages, and more. Throughout the mid-20th century, unions were instrumental in pushing for improved working conditions, with membership peaking in the 1950s when more than one in three workers belonged to a union. However, a dramatic decline followed – membership fell to 16% by 1990, and hit a record low of 10.1% as of last year. But as we have all witnessed, it was the advent of technology breakthroughs (consumer internet, mobile, cloud computing, robotics, AI), in tandem with globalization, the gig economy, and a myriad of other economic factors, beginning in the late 20th and early 21st centuries that created an inflection point for the relationship between unions and automation specifically. Since 2004, each industrial robot that has been installed in the manufacturing sector has displaced an average of 1.6 people. And more generally, unions have had to grapple with representing workers in technology-driven industries, with traditional concepts of employment being challenged by flexible and temporary contracts. And now, as they fight back against automation in their sectors, they are unfortunately creating more long-term harm than good because their actions (and disruptions to operations) are accelerating efforts to deploy automation. We are in the midst of a perfect storm. High interest rates, inflation, and profound breakthroughs in technology have created strong incentives for companies to displace workers, if they can. “America is barreling toward a summer of strikes” was Bloomberg’s article from late July on the more than 650k American workers who are threatening to strike, or are already on strike, this summer. The Writers Guild of America and SAG-AFTRA are on strike, the Teamsters were threatening to strike before trucking company Yellow shut down, The Culinary Workers Union (Las Vegas) will likely be on strike soon, FedEx pilots just rejected a new labor contract, and this week LA city workers walked off their jobs for 24 hours Also, the LA county supervisor proposed a requirement for larger hotels and theme parks to raise their minimum wage by 48% to $25/hr. There have also been some notable resolutions (in some cases eyebrow raising), such as UPS drivers securing a 17% wage increase for full-time drivers to $170k per year, and Cruise signing the driverless car industry’s first labor union agreements with electrical workers and janitors. COVID was yet another catalyst. Around 60% of all occupations have at least 30% of activities that can be automated, and the pandemic hastened the move towards such automation. In manufacturing, the International Federation of Robotics reported a 10% increase in the use of industrial robots in 2020. In the healthcare sector, one study of workers found that 14.3% had their role partially or entirely automated during the pandemic. Broadly, 68% of organizations increased their investment in automation in response to the pandemic; the World Economic Forum estimates that by 2025, automation would create 97mm new jobs but displace 85mm. Lastly, annual worldwide AI-driven software revenue is expected to grow from $10.1B in 2018 to $126.0B by 2025. We all know that automation is accelerating, and as we’ve written about before, is coming for knowledge workers like it previously did for blue collar workers: …the following four functions could drive 75% of global estimated annual economic benefits from AI workflows: customer operations (~$400B), marketing and sales (~$950B), software engineering ($900B), and research and development (~$330B)…And broadly, co-pilot tools could automate half of a knowledge worker’s daily activities over the coming decades. Unsurprisingly, these efforts to displace workers’ responsibilities with automation technology, either in part or full, has created great angst for unions and their members. For example, actors and writers are demanding that studios back down from plans to adopt AI for script writing and AI-generated characters that are derived from human actors. This is an uphill battle that we believe will backfire. These technologies are not going away and are only becoming more capable, as we have all observed over the past several years. There is a circular effect here – adoption causes unions to push back, oftentimes with strikes and demand for more benefits and higher pay – this incentivizes companies to accelerate adoption to offset higher costs and work disruptions. There are also 2nd order effects in the political realm. Back in 2021 when Joe Biden brought all the EV makers to the White House, he excluded Elon Musk and his administration, “strongly hinted that the lack of UAW [United Automobile Workers] representation at Tesla plants may have been part of the reason.” This kind of showmanship is unproductive and brings to mind a finding worth noting – automation is actually diminishing unions’ political power: Consequently, the political influence of organized labor falls in response to robot adoption because unionization declines…an increase in one robot per a thousand workers reduces the likelihood that congresspeople vote with unions’ interests by two percentage points. The trajectory of economic history has long showcased the natural and inevitable evolution of automation within various sectors. From the steam engines of the Industrial Revolution to today’s AI-driven software and robotics, the march of technology has continually reshaped the labor landscape. Unions have often been at the forefront of resistance to these changes, working to protect jobs and ensure fair treatment for workers. And their pushback is rooted in legitimate concerns such as job displacement and wages. However, the economic forces that drive automation are powerful (the pursuit of efficiency, the reduction of labor costs, and the desire to enhance productivity and competitiveness, etc). These forces have made the automation of certain jobs not just an option but a necessity for many businesses seeking to thrive in a global marketplace. As the “Summer of Strikes” unfolds, it is important to remember that these efforts may succeed in capturing new benefits or higher wages, but we believe they will ultimately fail to stop the arc of technology-driven efficiency that has been the backbone of productivity growth since the industrial revolution.
| 2023-08-12T00:00:00 |
2023/08/12
|
https://conversioncapital.com/labor-unions-and-automation/
|
[
{
"date": "2022/12/01",
"position": 34,
"query": "AI labor union"
},
{
"date": "2022/12/01",
"position": 95,
"query": "artificial intelligence labor union"
},
{
"date": "2023/01/01",
"position": 97,
"query": "artificial intelligence labor union"
},
{
"date": "2023/03/01",
"position": 97,
"query": "artificial intelligence labor union"
},
{
"date": "2023/05/01",
"position": 95,
"query": "AI labor union"
},
{
"date": "2023/07/01",
"position": 59,
"query": "AI labor union"
},
{
"date": "2023/07/01",
"position": 95,
"query": "artificial intelligence labor union"
},
{
"date": "2023/08/01",
"position": 98,
"query": "AI labor union"
},
{
"date": "2023/10/01",
"position": 94,
"query": "artificial intelligence labor union"
},
{
"date": "2024/01/01",
"position": 97,
"query": "artificial intelligence labor union"
},
{
"date": "2024/02/01",
"position": 83,
"query": "artificial intelligence labor union"
},
{
"date": "2024/03/01",
"position": 90,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 98,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 97,
"query": "artificial intelligence labor union"
},
{
"date": "2024/05/01",
"position": 93,
"query": "artificial intelligence labor union"
},
{
"date": "2024/06/01",
"position": 95,
"query": "artificial intelligence labor union"
},
{
"date": "2024/07/01",
"position": 93,
"query": "artificial intelligence labor union"
},
{
"date": "2024/08/01",
"position": 96,
"query": "artificial intelligence labor union"
},
{
"date": "2024/09/01",
"position": 98,
"query": "artificial intelligence labor union"
},
{
"date": "2024/10/01",
"position": 42,
"query": "AI labor union"
},
{
"date": "2024/11/01",
"position": 96,
"query": "artificial intelligence labor union"
},
{
"date": "2025/01/01",
"position": 95,
"query": "artificial intelligence labor union"
}
] |
Why Replacing Union Workers with Artificial Intelligence in Creative ...
|
Securing Workers' Futures: Why Replacing Union Workers with Artificial Intelligence in Creative Professions is the New Subcontracting
|
https://digitalcommons.wcl.american.edu
|
[
"Katherine J. Kyriakoudes"
] |
Artificial intelligence poses a significant threat to unionized professionals in creative industries, particularly as employers may be tempted to replace ...
|
Abstract
Artificial intelligence poses a significant threat to unionized professionals in creative industries, particularly as employers may be tempted to replace unionized workforces with artificial intelligence. However, Supreme Court precedent and the National Labor Relations Act paves a path forward for unionized workers in creative fields to safeguard themselves from job displacement through collective bargaining.
This Comment argues that replacing a unionized workforce with artificial intelligence is analogous to subcontracting under Fibreboard Paper Products Co. v. NLRB, First National Maintenance Corp. v. NLRB, and congressional intent behind the National Labor Relations Act. Consequently, artificial intelligence should be a mandatory subject of collective bargaining because it directly affects workers’ “terms and conditions of employment.” Applying Fibreboard, requiring employers and employees to bargain over artificial intelligence use would not “significantly abridge” an employer’s ability to operate its business nor alter the basic scope of the business. Moreover, as suggested by First National, the decision to implement artificial intelligence is appropriately suited for resolution through collective bargaining. Ultimately, treating the replacement of union workers with artificial intelligence as a form of subcontracting aligns with the congressional intent and objectives behind the National Labor Relations Act.
| 2022-12-01T00:00:00 |
https://digitalcommons.wcl.american.edu/aulr/vol73/iss5/6/
|
[
{
"date": "2022/12/01",
"position": 35,
"query": "AI labor union"
},
{
"date": "2022/12/01",
"position": 22,
"query": "artificial intelligence labor union"
},
{
"date": "2023/01/01",
"position": 21,
"query": "artificial intelligence labor union"
},
{
"date": "2023/03/01",
"position": 19,
"query": "artificial intelligence labor union"
},
{
"date": "2023/04/01",
"position": 84,
"query": "AI labor union"
},
{
"date": "2023/05/01",
"position": 80,
"query": "AI labor union"
},
{
"date": "2023/07/01",
"position": 92,
"query": "AI labor union"
},
{
"date": "2023/07/01",
"position": 22,
"query": "artificial intelligence labor union"
},
{
"date": "2023/08/01",
"position": 85,
"query": "AI labor union"
},
{
"date": "2023/09/01",
"position": 22,
"query": "artificial intelligence labor union"
},
{
"date": "2023/10/01",
"position": 23,
"query": "artificial intelligence labor union"
},
{
"date": "2024/01/01",
"position": 45,
"query": "artificial intelligence labor union"
},
{
"date": "2024/02/01",
"position": 26,
"query": "artificial intelligence labor union"
},
{
"date": "2024/03/01",
"position": 83,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 85,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 20,
"query": "artificial intelligence labor union"
},
{
"date": "2024/05/01",
"position": 22,
"query": "artificial intelligence labor union"
},
{
"date": "2024/06/01",
"position": 87,
"query": "AI labor union"
},
{
"date": "2024/06/01",
"position": 19,
"query": "artificial intelligence labor union"
},
{
"date": "2024/07/01",
"position": 21,
"query": "artificial intelligence labor union"
},
{
"date": "2024/08/01",
"position": 21,
"query": "artificial intelligence labor union"
},
{
"date": "2024/09/01",
"position": 39,
"query": "AI replacing workers"
},
{
"date": "2024/09/01",
"position": 20,
"query": "artificial intelligence labor union"
},
{
"date": "2024/10/01",
"position": 37,
"query": "AI labor union"
},
{
"date": "2024/11/01",
"position": 22,
"query": "artificial intelligence labor union"
},
{
"date": "2025/01/01",
"position": 20,
"query": "artificial intelligence labor union"
},
{
"date": "2025/02/01",
"position": 40,
"query": "artificial intelligence labor union"
},
{
"date": "2025/03/01",
"position": 36,
"query": "artificial intelligence labor union"
},
{
"date": "2025/05/01",
"position": 38,
"query": "artificial intelligence labor union"
}
] |
|
The Future of Work Keeping Jobs Safe from Automation and AI ...
|
Keeping Jobs Safe from Automation | The Future of Work Keeping Jobs Safe from Automation and AI Technology - The United Food & Commercial Workers International Union
|
https://www.ufcw.org
|
[] |
UFCW members have a voice in how companies implement and use AI, automated management, and surveillance through bargaining.
|
The UFCW is making sure technology works for workers
Our workplaces are rapidly changing, and it can be hard to keep up. We’re not against technology – in some cases, it can make workplaces safer or more efficient. But it needs to be used to help workers and communities succeed, not as a way to get rid of good jobs.
Unions and the future of work
In our union’s history, we’ve seen many tech innovations introduced into our stores and facilities. From self-checkout in our grocery stores to depluming and evisceration machines in our poultry plants, technology and automation have had a huge impact – both positive and negative – on our members. However, UFCW members have a voice in how companies implement and use AI, automated management, and surveillance through bargaining.
Regulating AI to protect workers’ dignity and safety
| 2022-12-01T00:00:00 |
https://www.ufcw.org/better/technology-and-the-future-of-work/
|
[
{
"date": "2022/12/01",
"position": 38,
"query": "AI labor union"
},
{
"date": "2022/12/01",
"position": 50,
"query": "artificial intelligence labor union"
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{
"date": "2023/01/01",
"position": 53,
"query": "artificial intelligence labor union"
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{
"date": "2023/03/01",
"position": 46,
"query": "artificial intelligence labor union"
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{
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"position": 42,
"query": "AI labor union"
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"query": "AI labor union"
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"query": "AI labor union"
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{
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"position": 47,
"query": "artificial intelligence labor union"
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{
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"query": "AI labor union"
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{
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"query": "artificial intelligence labor union"
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{
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"position": 51,
"query": "artificial intelligence labor union"
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{
"date": "2024/01/01",
"position": 51,
"query": "artificial intelligence labor union"
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{
"date": "2024/02/01",
"position": 44,
"query": "artificial intelligence labor union"
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{
"date": "2024/03/01",
"position": 43,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 30,
"query": "AI labor union"
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{
"date": "2024/04/01",
"position": 50,
"query": "artificial intelligence labor union"
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{
"date": "2024/05/01",
"position": 39,
"query": "artificial intelligence labor union"
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{
"date": "2024/06/01",
"position": 41,
"query": "AI labor union"
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{
"date": "2024/06/01",
"position": 46,
"query": "artificial intelligence labor union"
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{
"date": "2024/07/01",
"position": 43,
"query": "artificial intelligence labor union"
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{
"date": "2024/08/01",
"position": 46,
"query": "artificial intelligence labor union"
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{
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"position": 21,
"query": "AI labor union"
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{
"date": "2024/09/01",
"position": 51,
"query": "artificial intelligence labor union"
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{
"date": "2024/10/01",
"position": 49,
"query": "AI labor union"
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{
"date": "2024/11/01",
"position": 54,
"query": "artificial intelligence labor union"
},
{
"date": "2025/01/01",
"position": 58,
"query": "artificial intelligence labor union"
},
{
"date": "2025/02/01",
"position": 44,
"query": "artificial intelligence labor union"
},
{
"date": "2025/03/01",
"position": 43,
"query": "artificial intelligence labor union"
},
{
"date": "2025/05/01",
"position": 31,
"query": "AI labor union"
},
{
"date": "2025/05/01",
"position": 42,
"query": "artificial intelligence labor union"
},
{
"date": "2025/06/01",
"position": 31,
"query": "AI labor union"
}
] |
|
2024 Resolution No. 7: Artificial Intelligence - afscme
|
Artificial Intelligence
|
https://www.afscme.org
|
[] |
... unions working to protect the labor and rights of their workers in relation to the development, design and implementation of AI in their fields of work; and.
|
Artificial Intelligence Resolution No. 7
WHEREAS:
Artificial intelligence (AI) technology is rapidly advancing and will impact every sector, including many occupations held by AFSCME members; and
WHEREAS:
AI technology has the potential to both enhance and negatively impact job quality and service outcomes for many public service occupations, such as benefits eligibility determination, nursing, law enforcement and home care; and
WHEREAS:
The development and deployment of AI systems raises critical concerns related to job screening, worker surveillance and potential displacement of workers; and
WHEREAS:
AI deployment also raises concerns related to civil rights, fair elections, privacy rights, consumer protections and public safety; and
WHEREAS:
Technological change has historically been implemented without sufficient safeguards and policy protections, leading to devastating consequences for working people and their communities; and
WHEREAS:
The risks posed by AI to our nation's civic community necessitate a thoughtful approach to the development of this technology, including clearly distinguishing AI-generated content; and
WHEREAS:
President Biden's Executive Order on AI emphasizes the need for workers to be involved in shaping the development and use of artificial intelligence technology, including through collective bargaining.
THEREFORE BE IT RESOLVED:
That AFSCME supports President Biden's Executive Order on Artificial Intelligence, which provides a seat at the table for workers, including through collective bargaining, to ensure we all benefit from the opportunities presented by this technology; and
BE IT FURTHER RESOLVED:
That AFSCME will advocate for robust policies and regulations to govern the responsible development and deployment of AI systems, ensuring the protection of workers' rights, civil liberties and the public interest, and ensuring AI does not exacerbate discrimination, bias, fraud and the disempowerment of workers; and
BE IT FURTHER RESOLVED:
That AFSCME will advocate to ensure that labor has a meaningful, decision-making role on the use of AI in the workplace through collective bargaining at every stage of the process, including design, implementation and monitoring of AI systems; and
BE IT FURTHER RESOLVED:
That AFSCME will advocate that the benefits of AI are shared equitably, where workers have access to opportunities that AI creates through education and training, and where workers whose jobs are impacted by the technology receive protections, support and retraining as needed to prevent the loss of living standards and dislocation from the labor force; and
BE IT FURTHER RESOLVED:
That AFSCME will support ethical guidelines and transparent processes for the development and use of AI, with a particular emphasis on identifying AI-generated content and mitigating the risks of misinformation, disinformation and deepfakes; and
BE IT FURTHER RESOLVED:
That AFSCME will engage, collaborate with and, where possible, support the efforts of other unions working to protect the labor and rights of their workers in relation to the development, design and implementation of AI in their fields of work; and
BE IT FINALLY RESOLVED:
That AFSCME will remain vigilant in monitoring the impacts of AI on our members and the broader workforce, and will continue to advocate for policies that prioritize workers' rights, civil liberties, public safety and the well-being of our communities.
SUBMITTED BY:
Chris Mabe, President and Delegate
OCSEA/AFSCME Local 11
OCSEA/AFSCME Local 11 Board of Directors
Ohio
Sheera Glass, Delegate
James Whooley, Delegate
Juliet White, Delegate
Thomas Orawiec, Delegate
AFSCME Local 154, District Council 37
New York
R. Sean Grayson, President
David Kovacs, Recording Secretary
AFSCME Council 8
Ohio
| 2022-12-01T00:00:00 |
https://www.afscme.org/about/governance/conventions/resolutions-amendments/2024/resolutions/artificial-intelligence
|
[
{
"date": "2022/12/01",
"position": 42,
"query": "AI labor union"
},
{
"date": "2022/12/01",
"position": 57,
"query": "artificial intelligence labor union"
},
{
"date": "2023/01/01",
"position": 61,
"query": "artificial intelligence labor union"
},
{
"date": "2023/03/01",
"position": 62,
"query": "artificial intelligence labor union"
},
{
"date": "2023/04/01",
"position": 73,
"query": "AI labor union"
},
{
"date": "2023/07/01",
"position": 67,
"query": "AI labor union"
},
{
"date": "2023/07/01",
"position": 60,
"query": "artificial intelligence labor union"
},
{
"date": "2023/08/01",
"position": 71,
"query": "AI labor union"
},
{
"date": "2023/10/01",
"position": 59,
"query": "artificial intelligence labor union"
},
{
"date": "2024/01/01",
"position": 60,
"query": "artificial intelligence labor union"
},
{
"date": "2024/02/01",
"position": 40,
"query": "artificial intelligence labor union"
},
{
"date": "2024/03/01",
"position": 72,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 75,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 60,
"query": "artificial intelligence labor union"
},
{
"date": "2024/05/01",
"position": 57,
"query": "artificial intelligence labor union"
},
{
"date": "2024/06/01",
"position": 73,
"query": "AI labor union"
},
{
"date": "2024/06/01",
"position": 59,
"query": "artificial intelligence labor union"
},
{
"date": "2024/07/01",
"position": 59,
"query": "artificial intelligence labor union"
},
{
"date": "2024/08/23",
"position": 2,
"query": "AI labor union"
},
{
"date": "2024/08/01",
"position": 59,
"query": "artificial intelligence labor union"
},
{
"date": "2024/09/01",
"position": 67,
"query": "AI labor union"
},
{
"date": "2024/09/01",
"position": 59,
"query": "artificial intelligence labor union"
},
{
"date": "2024/10/01",
"position": 57,
"query": "AI labor union"
},
{
"date": "2024/11/01",
"position": 59,
"query": "artificial intelligence labor union"
},
{
"date": "2025/01/01",
"position": 60,
"query": "artificial intelligence labor union"
}
] |
|
Transforming Labor Union Operations With AI: A Study of Valorian ...
|
Transforming Labor Union Operations With AI: A Study of Valorian, Spain
|
https://www.igi-global.com
|
[
"Andrés Jeronimo Arenas",
"Alfonso X El Sabio University",
"Jessica Bayón",
"Universidad Internacional De La Rioja",
"Arenas",
"Andrés Jeronimo",
"Bayón"
] |
This chapter explores the transformative impact of Artificial Intelligence (AI) on labor union operations, using Valorian — a pioneering Spanish union — as a ...
|
Abstract
Chapter Preview
Complete Chapter List Search this Book: Reset
Labor unions have historically played a vital role in ensuring workers' rights and fostering democratic labor relations. However, in the 21st century, they face unprecedented challenges, including declining membership, evolving workforce dynamics, and rapid technological advancements. This chapter explores the transformative impact of Artificial Intelligence (AI) on labor union operations, using Valorian — a pioneering Spanish union — as a case study. Unlike traditional unions, Valorian adopts a collaborative and innovation-driven approach, integrating AI into its core operations to enhance efficiency, improve member engagement, and promote ethical labor practices. By conducting a comparative historical and organizational analysis of Spanish labor unions, this study examines how Valorian leverages AI to address contemporary labor challenges. It also assesses the ethical, strategic, and operational implications of AI adoption in union activities, providing insights into AI's role in shaping the future of labor representation.
| 2025-07-14T00:00:00 |
2025/07/14
|
https://www.igi-global.com/chapter/transforming-labor-union-operations-with-ai/381906
|
[
{
"date": "2022/12/01",
"position": 50,
"query": "AI labor union"
},
{
"date": "2022/12/01",
"position": 49,
"query": "artificial intelligence labor union"
},
{
"date": "2023/01/01",
"position": 51,
"query": "artificial intelligence labor union"
},
{
"date": "2023/03/01",
"position": 48,
"query": "artificial intelligence labor union"
},
{
"date": "2023/04/01",
"position": 31,
"query": "AI labor union"
},
{
"date": "2023/05/01",
"position": 32,
"query": "AI labor union"
},
{
"date": "2023/07/01",
"position": 32,
"query": "AI labor union"
},
{
"date": "2023/07/01",
"position": 49,
"query": "artificial intelligence labor union"
},
{
"date": "2023/08/01",
"position": 34,
"query": "AI labor union"
},
{
"date": "2023/09/01",
"position": 46,
"query": "artificial intelligence labor union"
},
{
"date": "2023/10/01",
"position": 49,
"query": "artificial intelligence labor union"
},
{
"date": "2024/01/01",
"position": 76,
"query": "artificial intelligence labor union"
},
{
"date": "2024/02/01",
"position": 71,
"query": "artificial intelligence labor union"
},
{
"date": "2024/03/01",
"position": 32,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 33,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 48,
"query": "artificial intelligence labor union"
},
{
"date": "2024/05/01",
"position": 48,
"query": "artificial intelligence labor union"
},
{
"date": "2024/06/01",
"position": 33,
"query": "AI labor union"
},
{
"date": "2024/06/01",
"position": 47,
"query": "artificial intelligence labor union"
},
{
"date": "2024/07/01",
"position": 49,
"query": "artificial intelligence labor union"
},
{
"date": "2024/08/01",
"position": 51,
"query": "artificial intelligence labor union"
},
{
"date": "2024/09/01",
"position": 31,
"query": "AI labor union"
},
{
"date": "2024/09/01",
"position": 52,
"query": "artificial intelligence labor union"
},
{
"date": "2024/10/01",
"position": 52,
"query": "AI labor union"
},
{
"date": "2024/11/01",
"position": 73,
"query": "artificial intelligence labor union"
},
{
"date": "2025/01/01",
"position": 80,
"query": "artificial intelligence labor union"
},
{
"date": "2025/02/01",
"position": 48,
"query": "artificial intelligence labor union"
},
{
"date": "2025/03/01",
"position": 47,
"query": "artificial intelligence labor union"
},
{
"date": "2025/05/01",
"position": 34,
"query": "AI labor union"
},
{
"date": "2025/05/01",
"position": 44,
"query": "artificial intelligence labor union"
},
{
"date": "2025/06/01",
"position": 32,
"query": "AI labor union"
},
{
"date": "2025/06/01",
"position": 14,
"query": "artificial intelligence labor union"
}
] |
Sam Altman's AI Empire Relies On Brutal Labor Exploitation : r/union
|
The heart of the internet
|
https://www.reddit.com
|
[] |
Yeah there's a lot of skeletons going with this AI.
|
/r/union is a subreddit about people working somewhere banding together to fight to improve their lives in a union. Organize your workplace today!
Members Online
| 2022-12-01T00:00:00 |
https://www.reddit.com/r/union/comments/1ludpjw/sam_altmans_ai_empire_relies_on_brutal_labor/
|
[
{
"date": "2022/12/01",
"position": 65,
"query": "AI labor union"
},
{
"date": "2023/04/01",
"position": 38,
"query": "AI labor union"
},
{
"date": "2023/07/01",
"position": 38,
"query": "AI labor union"
},
{
"date": "2023/08/01",
"position": 37,
"query": "AI labor union"
},
{
"date": "2024/03/01",
"position": 39,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 39,
"query": "AI labor union"
},
{
"date": "2024/06/01",
"position": 38,
"query": "AI labor union"
},
{
"date": "2024/09/01",
"position": 37,
"query": "AI labor union"
},
{
"date": "2024/10/01",
"position": 75,
"query": "AI labor union"
},
{
"date": "2025/05/01",
"position": 43,
"query": "AI labor union"
},
{
"date": "2025/06/01",
"position": 42,
"query": "AI labor union"
}
] |
|
Artificial intelligence | ETUC
|
Artificial intelligence
|
https://www.etuc.org
|
[] |
EU poll shows huge support for AI at work directive. There is overwhelming ... union organisations in 42 European countries, plus 10 European Trade Union ...
|
The European Parliament has today approved the Artificial Intelligence Act. The Artificial Intelligence Act proposed by the European Commission only requires manufacturers to rank their own technology between low and high risk before putting it on the market and did not include any rules on the use of AI in the workplace. The ETUC welcomes the important improvements made by the progressive forces in the European Parliament, including:
| 2022-12-01T00:00:00 |
https://www.etuc.org/en/issue/artificial-intelligence
|
[
{
"date": "2022/12/01",
"position": 70,
"query": "AI labor union"
},
{
"date": "2022/12/01",
"position": 24,
"query": "artificial intelligence labor union"
},
{
"date": "2023/01/01",
"position": 23,
"query": "artificial intelligence labor union"
},
{
"date": "2023/03/01",
"position": 24,
"query": "artificial intelligence labor union"
},
{
"date": "2023/04/01",
"position": 47,
"query": "AI labor union"
},
{
"date": "2023/05/01",
"position": 45,
"query": "AI labor union"
},
{
"date": "2023/07/01",
"position": 42,
"query": "AI labor union"
},
{
"date": "2023/07/01",
"position": 25,
"query": "artificial intelligence labor union"
},
{
"date": "2023/08/01",
"position": 47,
"query": "AI labor union"
},
{
"date": "2023/09/01",
"position": 24,
"query": "artificial intelligence labor union"
},
{
"date": "2023/10/01",
"position": 24,
"query": "artificial intelligence labor union"
},
{
"date": "2024/01/01",
"position": 24,
"query": "artificial intelligence labor union"
},
{
"date": "2024/02/01",
"position": 47,
"query": "artificial intelligence labor union"
},
{
"date": "2024/03/01",
"position": 46,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 40,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 25,
"query": "artificial intelligence labor union"
},
{
"date": "2024/05/01",
"position": 24,
"query": "artificial intelligence labor union"
},
{
"date": "2024/06/01",
"position": 43,
"query": "AI labor union"
},
{
"date": "2024/06/01",
"position": 24,
"query": "artificial intelligence labor union"
},
{
"date": "2024/07/01",
"position": 25,
"query": "artificial intelligence labor union"
},
{
"date": "2024/08/01",
"position": 25,
"query": "artificial intelligence labor union"
},
{
"date": "2024/09/01",
"position": 42,
"query": "AI labor union"
},
{
"date": "2024/09/01",
"position": 25,
"query": "artificial intelligence labor union"
},
{
"date": "2024/10/01",
"position": 82,
"query": "AI labor union"
},
{
"date": "2024/11/01",
"position": 37,
"query": "artificial intelligence labor union"
},
{
"date": "2025/01/01",
"position": 24,
"query": "artificial intelligence labor union"
},
{
"date": "2025/02/01",
"position": 24,
"query": "artificial intelligence labor union"
},
{
"date": "2025/02/14",
"position": 46,
"query": "artificial intelligence workers"
},
{
"date": "2025/03/01",
"position": 24,
"query": "artificial intelligence labor union"
},
{
"date": "2025/05/01",
"position": 39,
"query": "AI labor union"
},
{
"date": "2025/05/01",
"position": 24,
"query": "artificial intelligence labor union"
},
{
"date": "2025/06/01",
"position": 39,
"query": "AI labor union"
}
] |
|
Microsoft, OpenAI, and a US Teachers' Union Are Hatching ... - WIRED
|
Microsoft, OpenAI, and a US Teachers’ Union Are Hatching a Plan to ‘Bring AI Into the Classroom’
|
https://www.wired.com
|
[
"Paresh Dave",
"Jaclyn Greenberg",
"Will Knight",
"Zoë Schiffer",
"Steven Levy",
"David Gilbert",
"Kylie Robison",
"Reece Rogers"
] |
... work with the union to explore AI education for workers and students. The AFT and the trio of tech companies partnering on the academy are ...
|
Microsoft and OpenAI announced on Tuesday that they are helping to launch an AI training center for members of the second-largest teachers’ union in the US.
The National Academy for AI Instruction will open later this year in New York City and aims initially to equip kindergarten up to 12th grade instructors in the American Federation of Teachers with tools and training for integrating AI into classrooms.
“Teachers are facing huge challenges, which include navigating AI wisely, ethically, and safely,” AFT president Randi Weingarten said during a press conference on Tuesday. “When we saw ChatGPT in November 2022, we knew it would fundamentally change our world. The question was whether we would be chasing it or we would try to harness it.” Anthropic, which develops the Claude chatbot, also recently became a collaborator on what the union described as a first-of-its-kind $23 million initiative funded by the tech companies to bring free training to teachers.
WIRED earlier reported on the effort, citing details that were inadvertently published early on YouTube.
Schools have struggled over the past few years to keep pace with students’ adoption of AI chatbots such as OpenAI’s ChatGPT, Microsoft’s Copilot, and Google’s Gemini. While highly capable at helping write papers and solving some math problems, the technologies can also confidently make costly errors. And they have left parents, educators, and employers concerned about whether chatbots rob students of the opportunity to develop essential skills on their own.
Some school districts have deployed new tools to catch AI-assisted cheating, and teachers have begun rolling out lessons about what they view as responsible use of generative AI. Educators have been using AI to help with the time-consuming work of developing teaching plans and materials, and they also tout how it has introduced greater interactivity and creativity in the classroom.
Weingarten, the union president, has said that educators must have a seat at the table in how AI is integrated into their profession. The new academy could help teachers better understand fast-changing AI technologies and evolve their curriculum to prepare students for a world in which the tools are core to many jobs.
Chris Lehane, OpenAI’s chief global affairs officer, said on Tuesday that the spread of AI and a resulting increase in productivity were inevitable. “Can we ensure those productivity gains are democratized?” he said. “There is no better place to begin that work than the classroom.”
But the program is likely to draw rebuke from some union members concerned about the commercial incentives of tech giants shaping what happens in US classrooms. Google, Apple, and Microsoft have competed for years to get their tools into schools in hopes of turning children into lifelong users. (Microsoft and OpenAI have also increasingly become competitors, despite a once-close relationship.)
Just last week, several professors in the Netherlands published an open letter calling for local universities to reconsider financial relationships with AI companies and ban AI use in the classroom. All-out bans appear unlikely amid the growing usage of generative AI chatbots. So AI companies, employers, and labor unions may be left to try to find some common ground.
| 2025-07-08T00:00:00 |
2025/07/08
|
https://www.wired.com/story/microsoft-openai-and-a-us-teachers-union-are-hatching-a-plan-to-bring-ai-into-the-classroom/
|
[
{
"date": "2022/12/01",
"position": 86,
"query": "AI labor union"
},
{
"date": "2023/04/01",
"position": 43,
"query": "AI labor union"
},
{
"date": "2023/05/01",
"position": 47,
"query": "AI labor union"
},
{
"date": "2023/07/01",
"position": 52,
"query": "AI labor union"
},
{
"date": "2023/08/01",
"position": 49,
"query": "AI labor union"
},
{
"date": "2024/03/01",
"position": 50,
"query": "AI labor union"
},
{
"date": "2024/04/01",
"position": 49,
"query": "AI labor union"
},
{
"date": "2024/06/01",
"position": 54,
"query": "AI labor union"
},
{
"date": "2024/09/01",
"position": 51,
"query": "AI labor union"
}
] |
Microsoft, OpenAI, Anthropic announce free AI academy ... - Mashable
|
Microsoft, OpenAI, Anthropic announce free AI academy with national teachers' union
|
https://mashable.com
|
[] |
A phone screen showing a folder of AI chatbot apps, including Claude, Gemini,. AI leaders funnel $23 million into new labor-backed training ...
|
The nation's largest teachers' union — representing millions of staff within America's education system — has joined forces with some of the world's top players in AI to ready another generation of tech-savvy educators.
Announced Tuesday, July 8, by the American Federation of Teachers (AFT) and New York City-based affiliate United Federation of Teachers, along with tech giants Microsoft, OpenAI, and Anthropic, the new National Academy for AI Instruction will funnel $23 million toward free AI training and curriculum for all 1.8 million union members.
The goal of the program and its brick-and-mortar Manhattan facility — the brainchild of venture capitalist Roy Bahat and modeled after other high-tech training centers — is to create a "national model for AI-integrated curriculum," according to the coalition, focused on skills-based workshops, online courses, and hands-on training. Microsoft will invest $12.5 million into the training program, with an additional $8 million in funding from OpenAI and $500,000 from Anthropic, the New York Times reports. OpenAI will also provide $2 million in technical resources.
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“To best serve students, we must ensure teachers have a strong voice in the development and use of AI. This partnership will not only help teachers learn how to better use AI, it will give them the opportunity to tell tech companies how we can create AI that better serves kids," said Brad Smith, vice chair and president of Microsoft.
Mashable Light Speed Want more out-of-this world tech, space and science stories? Sign up for Mashable's weekly Light Speed newsletter. Loading... Sign Me Up By clicking Sign Me Up, you confirm you are 16+ and agree to our Terms of Use and Privacy Policy Thanks for signing up!
Led by the AFT, the academy will begin with a New York-based trainee cohort in the fall, with plans to scale nationwide at a later date. Tech and labor partners say they expect to train 400,000 educators over the next five years.
Microsoft, the academy's lead partner, partnered with the American Federation of Labor and Congress of Industrial Organizations (AFL-CIO) in 2023, intended to start a dialogue on AI's anticipated disruption of global workforces following several successful organizing efforts among Microsoft workers. The company also agreed to neutrality frameworks with both the Communication Workers of America and the AFL-CIO, ensuring collective bargaining opportunities for workers seeking AI protections.
"The direct connection between a teacher and their kids can never be replaced by new technologies, but if we learn how to harness it, set commonsense guardrails and put teachers in the driver’s seat, teaching and learning can be enhanced," wrote AFT President Randi Weingarten. "The academy is a place where educators and school staff will learn about AI — not just how it works, but how to use it wisely, safely, and ethically."
At large, corporations and AI developers have placed huge bets on the education field, including investing millions into initiatives designed to get free, premium AI tools, chatbots, and coding curriculum into K-12 and higher education classrooms. Microsoft, for example, launched new AI tools designed specifically for teachers on Microsoft 365 , as well as a standalone AI app, Microsoft Learning Zone, geared toward classroom lesson plans and activities. Google, which leads the industry in classroom tech, has gone live with a plethora of AI features for Google Classroom, Workspace for Education, and Chromebook users, including an education-specific Gemini integration, as well as its own education LLM.
In April, OpenAI announced it would offer two months of ChatGPT Plus for free to enrolled college students, following the launch of a free curriculum for K-12 teachers on integrating AI into their courses. OpenAI's vice president of education Leah Belsky is on record saying the company hopes to make AI the "core infrastructure of higher education" and increase chatbot use among student populations, despite concerns about the tech's affect on educators and potential longterm side effects for student users.
| 2025-07-08T00:00:00 |
2025/07/08
|
https://mashable.com/article/free-ai-academy-national-teachers-union-microsoft-open-ai
|
[
{
"date": "2022/12/01",
"position": 92,
"query": "AI labor union"
},
{
"date": "2024/10/01",
"position": 60,
"query": "AI labor union"
}
] |
Collective Bargaining Agreements on AI at the Workplace
|
Collective Bargaining on Ai at the Workplace
|
https://futureofwork.fes.de
|
[] |
The aim of the project is to raise awareness of workers and trade unions regarding the use of AI systems at the workplace and to support this goal with ...
|
In late 2022, Artificial Intelligence (AI) made an explosive entrance onto the stage of public consciousness: with ChatGPT, a chat-based form of AI systems that became available for the average person’s use for the first time. The next year, Hollywood writers organised in the Writers Guild of America went on a 148 days-long strike. They fought – and won – not just more pay and job security, but also limits to the use of AI in the writing process.
However, these very public displays of the power and challenges of AI tend to conceal the fact that AI and algorithmic management systems have proliferated across various industries for a number of years. While commonly associated with the platform or gig economies, demand for AI and algorithmic-management systems is booming amongst managers in ‘conventional’ firms. For workers and trade unions, then, their implementation at the workplace has raised many questions – from data protection and privacy to impacts on working conditions, such as monitoring of the workforce, bias in decision-making processes or the potential violation of human rights.
Over the last years, UNI Europa and the FES Competence Centre on the Future of Work have been successfully cooperating to raise the awareness of workers and trade unions regarding the use of AI systems at the workplace. However, following the report on employee awareness about algorithmic management at work, we see that there is a need to provide concrete examples of how AI at work is addressed through collective agreements.
To understand the challenges that are emerging in relation to the increased use of AI at work, we initiated a new research project and conducted two studies to 1) identify frequently used AI systems in the European service sectors and 2) examine the current situation in collective bargaining regarding the use of AI-related tools by employers vis-à-vis workers. The clauses extracted from various Collective Bargaining Agreements (CBAs) have been gathered and will be accessible through a visually intuitive dashboard.
The aim of the project is to raise awareness of workers and trade unions regarding the use of AI systems at the workplace and to support this goal with concrete examples of how AI at work is addressed through collective agreements.
| 2022-12-01T00:00:00 |
https://futureofwork.fes.de/collective-bargaining-on-ai.html
|
[
{
"date": "2022/12/01",
"position": 94,
"query": "AI labor union"
}
] |
|
Bargaining Victory: SEIU Local 688 won strong protections for ...
|
Bargaining Victory: SEIU Local 688 won strong protections for workers and the public in AI agreement with Pennsylvania Governor Shapiro
|
https://clje.law.harvard.edu
|
[
"Center For Labor",
"A Just Economy"
] |
Bargaining Victory: SEIU Local 688 won strong protections for workers and the public in AI agreement with Pennsylvania Governor Shapiro. By Center for Labor ...
|
Read below for a letter from Michelle Miller, CLJE’s Director of Innovation and Cynthia Conti-Cook, Director of Research and Policy at Resistance Labs, who together played a role in advising SEIU Local 688 President Steve Catanese on the implementation of generative AI in the workplace.
On March 28, 2025, SEIU Local 668 President Steve Catanese joined Governor Shapiro to announce a groundbreaking partnership with the state on the implementation of Generative AI. SEIU 668 represents state workers in social services and benefits provision for the Commonwealth. This partnership, as outlined in a letter from Governor Shapiro, includes the formation of a worker board that will oversee implementation of Generative AI tools.
Other important protections:
No end date on the agreement, with an eye toward ongoing negotiations beyond the term of the Shapiro Admin
Definition of a public worker as a person; Definition of Gen AI as a tool
Strong Human-in-the-Loop protections with humans at every step in the process, not just the end point.
Safeguards against and monitoring of disparate impacts related to bias and discrimination of protected classes
We are proud to have played a background role advising President Catanese and Local 668 on this process, and we’re hopeful that it can be a blueprint for other locals to build even more protections.
Read Governor Shapiro’s letter
| 2022-12-01T00:00:00 |
https://clje.law.harvard.edu/news/bargaining-victory-seiu-local-688-won-strong-protections-for-workers-and-the-public-in-ai-agreement-with-pennsylvania-governor-shapiro/
|
[
{
"date": "2022/12/01",
"position": 95,
"query": "AI labor union"
},
{
"date": "2025/03/28",
"position": 26,
"query": "AI labor union"
}
] |
|
AI regulation over kneejerk union lobbying will damage economy
|
AI regulation over kneejerk union lobbying will only damage the economy
|
https://www.crikey.com.au
|
[
"Bernard Keane",
"Royce Kurmelovs",
"Carla Wilshire",
"Jordan Guiao",
"Cam Wilson",
".Wp-Block-Comment-Author-Name Box-Sizing Border-Box",
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".Wp-Block-Post-Author-Name Box-Sizing Border-Box"
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AI won't have the job impacts unions claim, but so what if it does? We're running out of workers. Bernard Keane. Jun 16, 2025 4 min read.
|
There’s is no case for a ‘digital just transition’. AI won’t have the job impacts unions claim, but so what if it does? We’re running out of workers.
With companies that proudly announced they were sacking workers to use AI instead now rehiring them, and others discovering just how terrible the AI for which they sacked workers can actually be, a lot of the relentless hype that has accompanied the technology over the past two years is looking somewhat premature.
It’s not quite as bad as autonomous vehicles, which for the past two decades we’ve been told are just around the corner, without anyone coming even close to a genuinely AI-driven car (one Texas company recently put human drivers back behind the wheel of its much-vaunted driverless trucks).
As with AI, we were promised a revolution by autonomous vehicles advocates, with life and commerce fundamentally changing as humans no longer needed to drive. So far, 2025 looks a lot like 2005 in that regard, just with more electric vehicles.
While autonomous vehicles might have put taxi drivers and truck drivers out of work, expressions of concern for their fate rarely bubbled through to the surface of the froth about being able to read a book while commuting to work or getting on the turps without caring about the booze bus.
But it’s a different story with AI, which is seen as a threat to industries as diverse as manufacturing — a sector long used to the employment impacts of automation — and white-collar jobs, including legal services, human-to-human jobs like sales and education, and content creation services (like my job). Suddenly the potential impacts on employment are front and centre.
And unions, which represent 13% of workers but which exercise massive influence within the Labor Party, are demanding regulation of AI, including protections for workers at risk of losing jobs. Some union leaders are calling for a “digital just transition“.
That phrase is a shameless theft of an idea that originated in the debate around the transition from fossil fuels to renewables, which addressed the very real issue of how power generation tended to be located in regional communities, often near coal fields — which would be disproportionately affected by the shutdown of coal-fired power — and mining communities reliant on coal extraction.
Given the federal and state Labor’s enthusiasm for coal exports, the transition hasn’t been a particularly big issue for coal mining. The coal mining workforce is more than twice as large as it was 20 years ago, illustrating that worries about future job losses can often be way off-beam.
It’s hard to believe the similar concerns about mass layoffs resulting from AI — right up to and including Silicon Valley billionaires’ dreams of a completely AI society banishing work and freeing people up to spend all day addicted to their phones — aren’t going to look as badly adrift as expectations coal mining would die out. It might indeed do that, but governments seem keen to keep it going for decades to come.
But there is no case for a “digital just transition”.
Yes, workers should be remunerated if their work is used to train AI — that’s a straightforward industrial relations issue that can be resolved through workplace bargaining processes, not regulation. Yes, the vast power requirements of AI should only be met from renewable power and its water needs should be sustainable. Those are energy and water market issues; there’s an energy capacity mechanism already in place in Australia and, beyond individual company commitments like AWS’ to return replenished water, companies should pay market rates for the water they use.
Most of all, whether the employment impacts of AI are massive or — more likely — piecemeal and limited, they will occur at a time of growing worker scarcity. We have a jobs market that, despite the best efforts of job destruction and demand destruction by the Reserve Bank, is at or near full employment. We have significant skills shortages across crucial industries (industries less amenable to AI, like construction and health care). The future economy will need a lot more workers in critical industries like childcare and aged and disability care.
Anything that hampers the capacity of the economy to move workers to higher-value roles is a potential impediment to economic growth. That includes regulation-for-the-sake-of-regulation to protect workers from AI, as demanded by unions.
Industry Minister Tim Ayres at least gets that AI is not likely to lead to the kind of massive job losses that both advocates and critics warn about, but worryingly talks about an “Australian approach to AI strategy” aimed at a “regulatory balance between encouraging the technology and protecting people from its ‘pitfalls’”.
Yes, that’s consistent with this government’s intention to constantly display to voters that the economic and political system can operate in their interests, not vested interests. But preemptive and kneejerk regulation of AI at the behest of unions will harm the economy. In reflecting the interests of their members, unions are more likely to be reflective of the broader national interests than individual corporations that seek to influence policy in their own narrow interests. But when it comes to AI, it looks a lot like unions are more worried about their own interests, in keeping their memberships up, than the national interest.
| 2025-06-16T00:00:00 |
2025/06/16
|
https://www.crikey.com.au/2025/06/16/ai-regulation-australia-unions-digital-just-transition/
|
[
{
"date": "2022/12/01",
"position": 99,
"query": "AI labor union"
},
{
"date": "2023/09/01",
"position": 87,
"query": "artificial intelligence labor union"
},
{
"date": "2025/06/16",
"position": 28,
"query": "artificial intelligence labor union"
}
] |
Employers AI - the future of hiring
|
the future of hiring
|
https://www.employers.ai
|
[] |
Employers AI is the future of hiring. Hire an AI team member that can help you find, evaluate, and hire the best candidates, and turn your recruiting team ...
|
Screen
Screen applicants instantly
Ava can analyse thousands of applications per minute (if you're lucky enough to get that many) to surface the most qualified candidates, saving you hours or even days of manual review. Get detailed insights on why each applicant is a good match or not.
| 2022-12-01T00:00:00 |
https://www.employers.ai/
|
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{
"date": "2023/01/01",
"position": 1,
"query": "AI employers"
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{
"date": "2023/02/01",
"position": 1,
"query": "AI employers"
},
{
"date": "2023/04/01",
"position": 3,
"query": "AI employers"
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{
"date": "2023/05/01",
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"query": "artificial intelligence employers"
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{
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{
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"query": "artificial intelligence employers"
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{
"date": "2023/09/01",
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{
"date": "2023/09/01",
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"query": "artificial intelligence employers"
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{
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{
"date": "2023/12/01",
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{
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{
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{
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{
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"query": "artificial intelligence employers"
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{
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"query": "artificial intelligence employers"
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{
"date": "2024/09/01",
"position": 1,
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{
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{
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"query": "AI employers"
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{
"date": "2024/12/01",
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{
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{
"date": "2025/01/01",
"position": 3,
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},
{
"date": "2025/03/01",
"position": 40,
"query": "artificial intelligence employers"
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{
"date": "2025/04/01",
"position": 2,
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},
{
"date": "2025/04/01",
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|
Top AI Companies in 2025: Visionaries Driving the AI Revolution
|
Top AI Companies in 2025: Visionaries Driving the AI Revolution
|
https://www.eweek.com
|
[
"Liz Ticong",
"Leon Yen",
"Written By",
"Liz Ticong Is A Tech Industry Expert With Hands-On Experience In Ai",
"Software Testing",
"Product Analysis. Specializing In Ai News",
"Software Reviews",
"Buyer S Guides",
"She Rigorously Tests",
"Experiments With The Latest Ai"
] |
AI Enterprise Majors · Amazon Web Services (AWS) · BMC Software · Broadcom · Dell Technologies · HPE · Informatica · Infosys · Rockwell Automation. Democratized ...
|
eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More.
This list of AI companies reflects the rapid growth and the shifts reshaping the tech industry. I’ve grouped the companies by type — generative AI pioneers, established tech giants, sector-specific specialists, and ambitious newcomers. It’s hard to say which of them will shape the future most, but together, they’re set to redefine technology — and with it, the way we create, shop, and experience culture.
Featured Partners: AI Software Learn More
AI Giants
The immense storage and compute power of leading cloud platforms are required for artificial intelligence advancement, which is why cloud providers dominate this top AI companies list. These cloud leaders have a significant competitive advantage in the artificial intelligence market share because they can offer their existing clients a growing selection of AI solutions. Their substantial financial resources are important for success in the capital-intensive field of AI development.
Alibaba Cloud leader and innovator in APAC region Headquarters: Hangzhou, China
Hangzhou, China Founded: 1999
1999 Annual revenue: $198.3 billion Alibaba, a leading e-commerce company in China and a major player in Asian cloud computing, has restructured into six independent divisions, each with the ability to raise its own capital. Of particular note is the Alibaba Cloud Intelligence group, which handles cloud and AI innovations and products. While Alibaba has been greatly hampered by government crackdowns, analysts see the Cloud Intelligence group as a major driver of AI development. The company also offers an AI chatbot and LLM called Qwen that competes with ChatGPT.
For more information about today’s leading generative AI software, see our guide: Top 20 Generative AI Tools & Applications.
Amazon Leader in AI-driven cloud and automation services Headquarters: Seattle, Washington, United States
Seattle, Washington, United States Founded: 1994
1994 Annual revenue: $638 billion Amazon is a global leader in AI-driven cloud and automation services, powering millions of users through consumer products like Alexa+ and Rufus, and its Nova multimodal foundation models. AWS offers a wide range of AI services, including Bedrock, which natively hosts Amazon’s Nova models alongside over 100 other foundation models, enabling enterprises to build and customize AI applications efficiently. Between March and early May 2025, Amazon made key announcements advancing its AI capabilities: in late March, it launched Nova Act, an agentic AI model for autonomous browser tasks; in early April, Nova Sonic, a voice-to-voice model for natural real-time conversations; and in late April, Nova Premier, its most powerful multimodal model for complex reasoning. Alongside these, Amazon introduced nova.amazon.com, a platform for developers and users to explore and build with Nova models. These innovations put Amazon in direct competition with OpenAI and Anthropic and ensure advanced AI is deeply integrated across Amazon’s cloud and business operations.
To learn about new directions in generative AI, see the eWeek video: AWS VP Bratin Saha on the Bedrock Generative AI Tools.
Baidu Chinese innovator in AI and quantum computing Headquarters: Beijing, China
Beijing, China Founded: 2000
2000 Annual revenue: $4.68 billion Chinese technology company Baidu was initially a search engine platform. The organization began heavily investing in AI around 2010. Since then, it has developed a full-stack AI ecosystem, including software, chips, cloud infrastructure, and applications. The company’s AI platform, Baidu Brain, processes text and images and builds user profiles. With the most recent generation, Baidu Brain 6.0, quantum computing capabilities have also expanded significantly. It has also launched a generative AI chatbot called ERNIE.
Google Leading generative AI for technical and non-technical audiences Headquarters: Mountain View, California, United States
Mountain View, California, United States Founded: 1998
1998 Annual revenue: $350 billion Google, one of the most prominent AI companies, uses its expertise in algorithms to provide AI services through the Google Cloud platform. The Gemini ecosystem offers a comprehensive suite of generative AI tools, including infrastructure, developer tools, and a user-friendly natural language interface. Google also prioritizes responsible AI practices and maintains transparent communication about its ethical AI approach.
IBM Founder of Watson and watsonx AI solutions Headquarters: Armonk, New York, United States
Armonk, New York, United States Founded: 1911
1911 Annual revenue: $62.8 billion A top hybrid and multicloud AI company, boosted by its acquisition of Red Hat in 2019, IBM’s deep-pocketed global customer base has the resources to invest heavily in AI. IBM has an extensive AI portfolio, highlighted by the Watson platform, with strengths in conversational AI, machine learning, and automation. The company invests deeply in R&D and has a treasure trove of patents; its AI alliance with MIT will also likely fuel unique advances in the future.
Meta Embedded AI assistance in social media apps Headquarters: Menlo Park, California, United States
Menlo Park, California, United States Founded: 2004
2004 Annual revenue: $164.5 billion Meta — the parent company of Facebook, Instagram, and other popular social media platforms — has had a slightly slower start on generative AI than some of the other tech giants, but it has nonetheless blazed through to create some of the most ubiquitous and innovative solutions on the market today. Meta’s Llama model integrates AI into daily digital interactions, offering conversational assistance and image generation. By embedding AI into its ecosystem, Meta aims to build more personalized and immersive experiences.
Microsoft Enterprise leader in AI Headquarters: Redmond, Washington, United States
Redmond, Washington, United States Founded: 1975
1975 Annual revenue: $245 billion
As a pioneering force in the AI industry, Microsoft focuses on democratizing AI to enhance productivity and solve societal challenges. This global giant invests heavily in AI infrastructure and supercomputing capabilities to support large-scale AI applications. It has significantly expanded its relationship with OpenAI, the creator of ChatGPT, leading to the development of intelligent AI copilots and other generative AI technologies that are embedded or otherwise integrated with Microsoft’s products. With its existing infrastructure and partnerships, current trajectory, and penchant for innovation, it’s likely that Microsoft will be the leading provider of AI solutions to the enterprise in the long run.
Nvidia Leading provider of GPUs and other AI infrastructure Headquarters: Santa Clara, California, United States
Santa Clara, California, United States Founded: 1993
1993 Annual revenue: $60.9 billion All roads lead to NVIDIA as AI — especially generative AI and larger models — grows ever more important. At the center of NVIDIA’s strength is the company’s wicked-fast GPUs, which provide the power and speed for compute-intensive AI applications. Additionally, NVIDIA offers a full suite of software solutions, from generative AI to AI training to AI cybersecurity. It also has a network of partnerships with large businesses to develop AI and frequently funds AI startups.
For an in-depth look at how generative AI and advanced hardware are changing security, see the eWeek video: NVIDIA CSO David Reber on AI and Cybersecurity.
Oracle Leader in cloud-based AI support Headquarters: Austin, Texas, United States
Austin, Texas, United States Founded: 1977
1977 Annual revenue: $53 billion Oracle’s cloud platform has leaped forward over the past few years — it’s now one of the top cloud vendors — and its cloud strength will be a major conduit for AI services to come. To bulk up its AI credentials, Oracle has partnered with NVIDIA to boost enterprise AI adoption. The company stresses its machine learning and automation offerings and also sells a menu of prebuilt models to enable faster AI deployment. Oracle is also committed to workforce development, planning to train and certify 350,000 professionals in key Middle Eastern countries to support the growing demand for its cloud services. This initiative aims to create a local pool of certified experts who can drive the adoption of Oracle’s advanced technologies.
To find out how a cloud leader is facing the challenges of today’s IT sector, see the eWeek video: Oracle Cloud’s Leo Leung on Cloud Challenges and Solutions.
AI Pioneers
Think of these AI companies as the forward-looking group building the systems that drive AI progress. They take varied approaches — some focus squarely on AI tools, others support the broader ecosystem. While their strategies differ, they’re now central to a larger question: Will the future of AI be shaped by these agile pioneers, or by the massive cloud vendors with the infrastructure and built-in customer base to dominate the space?
Accubits Leader in blockchain, Web3, and metaverse technologies Headquarters: Virginia, USA
Virginia, USA Founded: 2012
2012 Annual revenue: $6.4 Million Accubits is a blockchain, Web3, and metaverse tech solutions provider that has expanded its services and projects into artificial intelligence as well. The company primarily works to support other companies in their digital transformation efforts, offering everything from technology consulting to hands-on product and AI development. The company’s main AI services include support for AI product and model development, consulting for generative AI projects, solution architecting, and automation solutions. In late 2024, Response Informatics Limited agreed to purchase a 95% stake in Accubits for approximately $593,000. This acquisition aims to diversify Response Informatics’ revenue streams and enhance its capabilities in the AI and blockchain sectors.
Adobe AI solutions for graphic designers and creatives Headquarters: San Jose, California, United States
San Jose, California, United States Founded: 1982
1982 Annual revenue: $21.51 billion Adobe is a SaaS company that primarily offers marketing and creative tools to its users. The company has begun to enhance all of these products with AI solutions, including Adobe Firefly, a robust generative AI tool and assistant that helps users personalize marketing assets, edit visual assets for better quality, and generally create creative content at scale across different Adobe suite products. In early 2025, Adobe expanded its Firefly offerings with the launch of the Firefly Video Model, which allows users to generate IP-friendly video content from text prompts or images. This model is integrated into the new Firefly app, so users can generate images and videos while ensuring commercial safety for brands and creative professionals.
Altair (RapidMiner) End-to-end data analytics and AI workflows Headquarters: Troy, Michigan, United States
Troy, Michigan, United States Founded: 1985
1985 Annual revenue: $192.6 million A prime example of a mega theme driving AI, Alteryx’s goal is to make AI models easier to build. Following its acquisition by Clearlake Capital Group and Insight Partners in 2024, Alteryx has focused on enhancing its cloud-native tools and AI-driven insights. The platform enables users to connect data sources to automated modeling tools through a drag-and-drop interface, allowing data professionals to create new models more efficiently. Users grab data from data warehouses, cloud applications, and spreadsheets, all in a visual data environment.
Alteryx Drag-and-drop approach to data and AI modeling Headquarters: Irvine, California, United States
Irvine, California, United States Founded: 1997
1997 Annual revenue: $192.6 million A prime example of a mega theme driving AI, Alteryx’s goal is to make AI models easier to build. The goal is to abstract the complexity and coding involved with deploying artificial intelligence. The platform enables users to connect data sources to automated modeling tools through a drag-and-drop interface, allowing data professionals to create new models more efficiently. Users grab data from data warehouses, cloud applications, and spreadsheets, all in a visualized data environment. Alteryx was founded in 1997.
Learn about the major trend toward enabling wider access to data by watching the eWeek video: Alteryx’s Suresh Vittal on the Democratization of Data Analytics.
Arista Networks Leader in AI networking solutions Headquarters: Santa Clara, California, United States
Santa Clara, California, United States Founded: 2004
2004 Annual revenue: $7 billion Arista Networks is a longstanding cloud computing and networking company that has quickly advanced its infrastructure and tooling to accommodate high-volume and high-frequency AI traffic. More specifically, the company has worked on its GPU and storage connections and sophisticated network operating software. Arista has partnered with NVIDIA to deliver holistic AI solutions. The collaboration includes the introduction of the Arista EOS AI Agent, which integrates compute and network domains into a single managed entity, aimed at reducing job completion times for AI tasks.
Cloudera Hybrid, cloud-agnostic data platform Headquarters: Santa Clara, California, United States
Santa Clara, California, United States Founded: 2008
2008 Annual revenue: $1 billion Following its merger with former competitor Hortonworks, Cloudera now delivers the Cloudera Data Platform and Cloudera Machine Learning, providing data professionals with a unified environment for seamless collaboration and AI development. The ML solutions are specifically designed to perform data prep and predictive reporting. As an example of emerging trends, Cloudera provides portable cloud-native data analytics. Cloudera acquired Verta’s operational AI platform and Octopai’s data lineage and catalog platform, furthering Cloudera’s capabilities in AI and data governance, contributing to a more robust service offering for customers.
For an inside view of where data leader Cloudera is headed, see the eWeek video: Cloudera’s Ram Venkatesh on the Cloudera Roadmap.
C3.ai Industry-focused AI solutions and services Headquarters: Redwood City, California, United States
Redwood City, California, United States Founded: 2009
2009 Annual revenue: $98.8 million C3.ai is an AI company created specifically to sell AI solutions to the enterprise. The company offers a long menu of turnkey AI solutions so companies can deploy AI without the complexity of building it themselves. It has strengthened partnerships with Microsoft, AWS, and McKinsey QuantumBlack for deeper product integration, joint marketing, and streamlined access to advanced AI solutions. C2.ai serves clients like the U.S. Air Force, leveraging AI to predict system failures, and Shell, optimizing equipment monitoring across its vast infrastructure.
For a detailed comparison of C3.ai and a major competitor, see our guide: C3.ai vs. DataRobot: Top Cloud AI Platforms.
Databricks AI-optimized data lakehouses and infrastructure Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2013
2013 Annual revenue: $3 billion Databricks offers an enterprise data intelligence platform that supports the flexible data processing needed to create successful AI and ML deployments; think of this data solution as the crucial building block of artificial intelligence. Through its innovative data storage and management technology, Databricks ingests and preps data from myriad sources. Its data management and data governance tools work with all major cloud players. The company is best known for its integration of the data warehouse and the data lake into a data lakehouse format. In recent years, Databricks has strengthened its platform through strategic acquisitions, including Prodvana, Tabular, Lilac, and Einblick, which elevate its capabilities in cloud infrastructure, data management, real-time analytics, and collaborative visualizations.
Interested in the relationship between AI and Data? See the eWeek video: Databricks’s Chris D’Agostino on AI and Data Management.
Dataiku Low-code/no-code AI/ML model development platform Headquarters: New York, United States
New York, United States Founded: 2013
2013 Annual revenue: $300 million Dataiku is a vendor with an AI and machine learning platform that aims to democratize tech by enabling both data and business professionals to create predictive models. Using shareable dashboards and built-in algorithms, Dataiku users can spin up machine learning or deep learning models; most helpfully, it allows users to create models without writing code. Dataiku now serves over 700 organizations globally, including major clients like Johnson & Johnson, Novo Nordisk, Perdue Farms, and Rolls Royce. Its strategic alliance with KPMG enhances offerings through expertise in cloud migration and AI governance.
DataRobot Cloud-agnostic AI and data solutions Headquarters: Boston, Massachusetts, United States
Boston, Massachusetts, United States Founded: 2012
2012 Annual revenue: $285 million DataRobot offers a cloud-agnostic AI Cloud that works with all the cloud leaders, including AWS, Azure, and Google. It’s built with a multicloud architecture that offers a single platform accessible to all manner of data professionals. Its value is that it provides data pros with deep AI support to analyze data, which supercharges data analysis and processing. Among its outcomes is faster and more flexible machine learning model creation. In February 2025, DataRobot acquired Agnostiq, enhancing its capabilities in agentic AI application development and compute orchestration through Agnostiq’s open-source platform, Covalent.
For in-depth comparison of DataRobot and a major competitor, read DataRobot vs. H2O.ai: Top Cloud AI Platforms.
Domino Data Lab Unified AI orchestration solution provider Headquarters: London, United Kingdom
London, United Kingdom Founded: 2013
2013 Annual revenue: $61 million Domino Data Lab offers both comprehensive AIOps and MLOps (machine learning operations) solutions through its platform technology. With its enterprise AI platform, users can easily manage their data, software, apps, APIs, and other infrastructural elements in a unified ecosystem. Users have the option to work with hybrid or multicloud orchestration, and they can also choose between a SaaS or self-managed approach. Domino Data Lab has partnered with NVIDIA to provide a faster development environment, and it has also launched the Statistical Computing Environment (SCE) Coalition to streamline clinical research and accelerate drug approvals through improved data workflows.
To learn how today’s software developers are finding ways to work faster, see the eWeek video: Domino Data Lab’s Jack Parmer on “Code First” Data Science.
H2O.ai Solutions provider for generative and predictive AI Headquarters: Mountain View, California, United States
Mountain View, California, United States Founded: 2012
2012 Annual revenue: $69.2 million H2O.ai is a company built from the ground up with the mission of providing AI software to the enterprise, focusing on democratizing AI for companies without major in-house expertise. It specializes in delivering a complete suite of machine learning platforms, including H2O, Driverless AI, and H2O Wave, to streamline adopting and scaling AI solutions for enterprises. Recently, H2O.ai collaborated with Dell Technologies and NVIDIA to deliver a validated generative and predictive AI solution through the Dell AI Factory, while also introducing Agentic AI, which integrates generative and predictive capabilities for more efficient enterprise workflows.
To learn how computers can “see” the world around them, watch our eWeek video: H2O.ai’s Prashant Natarajan on AI and Computer Vision.
Inflection AI A conversational approach to generative content Headquarters: Palo Alto, California, United States
Palo Alto, California, United States Founded: 2022
2022 Annual revenue: $3.8 million Inflection AI is an AI studio focused on creating advanced applied AI for challenging use cases. The company is primarily known for Pi, a conversational AI designed for personalized casual conversations, accessible via pi.ai and mobile apps. Under CEO Sean White, Inflection AI shifted its focus towards enterprise solutions with Inflection for Enterprise. This platform enables businesses to deploy AI agents and integrate tools like data analytics and workplace communication enhancements. Its acquisitions of BoostKPI and Jelled.ai further strengthened its enterprise offerings, establishing Inflection AI as a leader in business-focused AI innovation.
OpenAI Founder of ChatGPT Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2015
2015 Annual revenue: $3.5 billion The world was forever changed when OpenAI introduced ChatGPT in November 2022 — a major milestone in the history of artificial intelligence. Founded in 2015 with $1 billion in seed funding, San Francisco-based OpenAI benefits from a cloud partnership with Microsoft, which has invested a reported $13 billion in OpenAI. Not content to rest on its success, OpenAI has launched GPT-4, a larger multimodal version of its successful LLM foundation model, and continues to innovate in areas like text-to-video generation. The company also offers DALL-E, which creates artistic images from user text prompts. In 2024, OpenAI acquired Rockset, a real-time analytics database company, to supercharge its data retrieval capabilities. It also acquired Multi, a video calling platform for remote teams, in an acquihire deal.
Scale AI Leading provider of AI for public sector use cases Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2016
2016 Annual revenue: $687.4 million Scale is an AI company that covers a lot of ground with its products and solutions, giving users the tools to build, scale, and customize AI models — including generative AI models — for various use cases. The Scale Data Engine simplifies the process of collecting, preparing, and testing data before AI model development and deployment, while the Scale Generative AI Platform and Scale custom LLMs give users the ability to fine-tune generative AI to their specifications. The company secured a landmark contract with the U.S. Department of Defense to integrate AI agents into military decision-making through the Thunderforge program, boosting operational capabilities within military workflows.
Snowflake Next-gen data warehouse and AI data cloud vendor Headquarters: Bozeman, Montana, United States
Bozeman, Montana, United States Founded: 2012
2012 Annual revenue: $2.67 billion Snowflake is a next-gen data warehouse vendor. Artificial intelligence requires oceanic amounts of data, properly prepped, shaped, and processed, and supporting this level of data crunching is one of Snowflake’s strengths. Operating across AWS, Microsoft Azure, and Google Cloud, Snowflake’s AI Data Cloud aims to eliminate data silos for optimized data gathering and processing. Snowflake has expanded its offerings through acquisitions such as Datavolo, a multimodal data pipeline platform, and the remaining stake in Samooha, a provider of data clean rooms. Snowflake also invested in startups to foster innovation within its ecosystem.
For an expert take on how today’s IT platforms are enabling wider data access, see the eWeek video: Snowflake’s Torsten Grabs on AI and Democratizing Data.
AI Visionaries
If the AI pioneers are a mixed bag, this group of AI visionaries is heading off in an even wider array of directions. These AI startups are closer to the edge, building a new vision even as they imagine it — they’re inventing the generative AI landscape in real time, in many cases. More than any technology before, there’s no roadmap for the growth of AI, yet these generative AI companies are proceeding at full speed.
Abacus.ai AI technology used to build AI technology Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2019
2019 Annual revenue: $90.2 million Founded in 2019, Abacus creates pipelines between data sources—such as Google Cloud, Azure, and AWS—and then allows users to custom-build and monitor machine learning models. A unique aspect of this platform is that it also enables AI to build AI agents and systems rather than requiring hands-on human intervention. Abacus’s prebuilt AI technology can be used to build AI solutions like LLMs and can provide additional information about these models to improve explainability.
Adept Commitment to general intelligence AI assistants Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2022
2022 Annual revenue: $11.1 million Currently, generative AI platforms like DALL-E and GPT-4 create images or text in response to user text prompts. Adept is building the next step: it is creating a full-fledged digital assistant — an AI teammate for everyone — that will execute a series of complex commands based on text prompts, even for developer tasks. As an example of how Adept works, if you type in the prompt, “convert this client into a sales opportunity,” the Adept digital assistant performs various actions to complete the sale. Now focused entirely on agentic AI solutions, Adept aims to automate complex workflows for businesses, emphasizing reliability and usability. Additionally, the company has partnered with Amazon, which licenses its agent technology and multimodal models.
Anthropic Generative AI leader committed to constitutional AI Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2021
2021 Annual revenue: $1 billion Founded by former senior members of OpenAI, Anthropic is an AI research and development company that focuses on creating safe and reliable artificial intelligence systems. The company is best known for its generative AI chatbot, Claude 3, which provides detailed written answers to user questions. This latest generation of Claude has introduced aspects of multimodality and improved various components of the platform. Anthropic emphasizes its commitment to Constitutional AI, a methodology designed to ensure consistent safety, transparency, and ethics in its models.
Cohere Leading models with accessible AI playground Headquarters: Toronto, Ontario, Canada
Toronto, Ontario, Canada Founded: 2019
2019 Annual Revenue: $70 million Cohere was founded by a group of elite AI experts, many of whom were former researchers at Google Brain. The AI company aims to enable more natural communication between humans and machines for generative AI, search, discovery, and retrieval tasks. Cohere builds large language models for enterprise customers, accessible via an API, which is clearly a lucrative new niche. Its top models are the Command, Rerank, and Embed models. Cohere has formed a strategic partnership with Fujitsu to develop enterprise AI solutions and secured federal support to build a multibillion-dollar AI data center in Canada.
Eightfold AI AI solution for recruiters and talent management Headquarters: Mountain View, California, United States
Mountain View, California, United States Founded: 2016
2016 Annual Revenue: $90.6 million Eightfold AI is a vendor that uses AI-powered technology to make recruitment, onboarding, retention, and other organizational talent management tasks easier to manage at scale. Users can work with the vendor’s all-encompassing Talent Intelligence Platform, which includes features not only for talent acquisition and talent management but also for resource management. Its automations and smart analytics help users comb through larger quantities of applicants at a quicker pace while ensuring they identify top talent and new talent pipelines with minimal bias. Eightfold AI has partnered with various public sector entities, including the U.S. Department of Defense, the State of New York, Puerto Rico, and Washington D.C., enhancing their hiring and talent management capabilities to strengthen mission readiness.
FarmWise AI-powered farming technology innovator Headquarters: Santa Clara, California, United States
Santa Clara, California, United States Founded: 2016
2016 Annual Revenue: $35.3 million FarmWise is an agricultural technology company specializing in AI-powered precision weeding solutions. With advanced computer vision and machine learning, FarmWise enables plant-level farming by identifying and removing weeds with sub-inch accuracy, reducing the need for chemical herbicides. Its flagship product, the Vulcan precision weeding implement, has been deployed across thousands of acres to improve farming efficiency and sustainability. In 2024, FarmWise expanded its reach through an exclusive partnership with RDO Equipment Co., enhancing support for its technology among vegetable growers in the U.S. Southwest. This collaboration underscores FarmWise’s mission to revolutionize agriculture by combining cutting-edge AI with practical farming applications.
Glean Leader in generative enterprise search technology Headquarters: Palo Alto, California, United States
Palo Alto, California, United States Founded: 2019
2019 Annual Revenue: $100 million Considered one of the unicorns of the emerging generative AI scene, Glean has evolved into a prominent player in enterprise AI by expanding beyond search to offer comprehensive workplace solutions. With its Work AI platform, including features like Workplace Search, Assistant, Knowledge Management, Work Hub, and Connectors, Glean enables businesses to create self-service tools for employees to access critical information across applications. Recent advancements include the launch of the Glean Agents platform, which allows no-code creation of AI agents for automating complex workflows across departments. Glean is expanding globally into markets like Japan and Europe while targeting new verticals such as healthcare and manufacturing.
Gong AI-powered revenue, service, and sales intelligence Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2015
2015 Annual revenue: $300 million Gong is a fast-growing provider of customer service, sales, and marketing solutions that focus on revenue and engagement intelligence and analytics. AI is infused throughout the platform and is used to provide contextual information and recommendations for customer interactions, as well as coaching for internal team members. The vendor also offers its smart trackers tool, which gives users the ability to train Gong’s AI to more granularly detect certain types of customer interactions and red-flag behaviors.
Insitro Multidisciplinary, AI-powered approach to drug discovery Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2018
2018 Annual revenue: $69 million Founded by a former professor of machine learning at Stanford, Insitro’s goal is to improve the drug discovery process using AI to analyze patterns in human biology. Drug discovery is enormously expensive and typically met with low success rates, so AI’s assistance is greatly needed. Driving this development is the company’s mixed team of experts, including data scientists, bioengineers, and drug researchers. In 2024, Insitro partnered with Eli Lilly to advance treatments for metabolic diseases, combining its AI-driven platform with Lilly’s expertise in drug delivery and metabolic biology.
InVideo Customizable AI videos for social media Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2017
2017 Annual revenue: $18.1 million InVideo is an AI video company that focuses on automating script, scene, voiceover, and overall video production. The platform is frequently used for digital marketing and content marketing projects, allowing users to transform blogs and other text prompts into YouTube, talking avatar, Instagram, and other types of engaging video content. Users can customize the AI-generated content from the platform by inputting target audience, platform, and other tailored instructions.
Ironclad AI for contract lifecycle management Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2014
2014 Annual Revenue: $139.9 million Ironclad is a contract lifecycle management vendor that uses AI to manage contract data, contract creation, analytics, and more. Its contract review process is thorough and customizable, offering users AI-driven suggestions for how to improve existing contracts based on both best practices and the AI playbooks users upload themselves; the platform also includes a comprehensive AI-powered editor and a repository that makes contracts editable in a Word Document-like format. Ironclad acquired PactSafe, a leader in clickwrap technology, expanding its capabilities in managing digital agreements. More recently, the vendor has come out with Ironclad Contract AI, an AI assistant that supports users with chat-driven solutions for additional contract tasks and queries.
JLL AI for intelligent real estate insights Headquarters: Chicago, Illinois, United States
Chicago, Illinois, United States Founded: 1999
1999 Annual revenue: $23.4 billion JLL exemplifies the integration of AI in commercial real estate by developing proprietary solutions like JLL Falcon and JLL GPT to enhance transaction efficiency and client decision-making. JLL Falcon is an AI platform that combines the company’s extensive proprietary data with generative AI models to deliver timely, revenue-generating, and cost-saving insights for investors, occupiers, and real estate professionals. JLL GPT, introduced in August 2023, is the first large language model specifically designed for the commercial real estate industry, enabling JLL’s workforce to provide specialized insights to clients.
Moveworks AI for IT and support workflows Headquarters: Mountain View, California, United States
Mountain View, California, United States Founded: 2016
2016 Annual Revenue: $100 million Acquired by ServiceNow in 2025, Moveworks is an AI company that focuses on creating generative AI and automated solutions for business operations, employee, and IT support. The platform is filled with AI-powered features, including AI workflows, analytics, knowledge management, and ticket and task automation. The company is also leading the way with copilot assistive AI technology, giving users access to tools like MoveLM, an LLM that’s dedicated to employee support queries and tasks.
Openstream.ai Highly configurable conversational AI Headquarters: Bridgewater, New Jersey, United States
Bridgewater, New Jersey, United States Founded: 1998
1998 Annual revenue: $13 million Openstream.ai is a player in the rapidly growing conversational AI market. Openstream.ai’s Eva platform leverages sophisticated knowledge graphs that use both structured and unstructured data, enabling it to work across multiple channels, including social media platforms. Openstream.ai uses this AI architecture to power natural language understanding (NLU), which involves impressive levels of reading comprehension. The vendor also develops copilots, help desks and contact center agents, and other customer service solutions with its conversational AI approach.
Runway Text-to-video and video-to-video content generation platform Headquarters: New York, United States
New York, United States Founded: 2018
2018 Annual Revenue: $18.3 million The three founders of Runway met in art school, where they were immersed in digital design software. Their solution — a browser-based generative AI platform that requires no plugins — creates images and videos from text prompts. Think of it as a filmmaker’s dream: If you can imagine it, the Runway platform will help you create it. Runway already has a major production credit for the film “Everything Everywhere All At Once,” which won Best Picture in the 2023 Academy Awards. Recently, Runway partnered with Lionsgate to develop a custom AI model trained on Lionsgate’s extensive film library, aiming to enhance the filmmaking process with cutting-edge, cost-efficient content creation tools. Its most recent models and developments have earned high praise for their realism and controllability.
Samsara AI-powered driving assistance and analytics Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2015
2015 Annual revenue: $1.1 billion Samsara is an IoT company that has brought forth several innovative technologies over the years, but more recently, it has expanded into AI for driver and road safety. The company’s built-in AI and advanced edge computing for vehicles give drivers and/or fleet managers real-time insights into road conditions and driving performance, as well as coaching workflows and in-cab driver assistance. AI dash cams are built into vehicles and designed to send footage directly to the cloud, so fleet managers and business owners can review driver and vehicle issues in a timely manner.
Synthesia Generative AI video platform with AI avatars Headquarters: London, United Kingdom
London, United Kingdom Founded: 2017
2017 Annual revenue: $73.5 million Is the person in this video real or virtual? Synthesia uses AI to create video avatars who speak and present as if they’re human. The AI company offers more than 230 stock AI avatars to allow users to create a virtual talking head using text prompts. To add realism, the avatars can be customized with facial gestures like raised eyebrows, head nods, and support for over 140 languages. Additionally, users can create personal avatars that look and sound like themselves, further enhancing the realism and customization options available with Synthesia’s technology.
To learn about the future of video and AI, see the eWeek video: Synthesia CEO Victor Riparbelli on AI and Video Avatars.
Synthesis AI AI for multiple computer vision scenarios Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2019
2019 Annual revenue: $4 million Synthesis AI is a generative AI and synthetic data company that focuses on creating data and models for computer vision use cases. The platform can be used for a variety of use cases spanning across industries, including AR/VR/XR, virtual try-on, teleconferencing, driver and pedestrian monitoring, and security. It can also be used in biometrics and security, specifically for ID verification and threat detection.
Generative AI companies
Generative AI (genAI) creates content from text prompts, producing everything from essays and graphics to software code. GenAI’s benefits are impressive, but its risks are serious — it can introduce cybersecurity issues or generate false, even harmful, information. Still, adoption is booming, and new AI startups are emerging constantly. At the same time, the sector faces heated debate over copyright and ownership, since these models are trained on existing creative work. The legal and ethical issues remain unsettled, though ongoing regulation may begin to bring clarity.
Biomatter Generative AI for new protein creation Headquarters: Vilnius, Lithuania
Vilnius, Lithuania Founded: 2018
2018 Annual revenue: $2.2 million Biomatter employs generative AI to create synthetic biologic materials, specifically new proteins for health and sustainable manufacturing applications. This technology for creating synthetic proteins means new enzymes can be created with completely novel properties and use cases. Clearly, this is just one of many examples of how generative AI will play a crucial role in the future of medicine.
Hugging Face Extensive AI modeling community and resource library Headquarters: Manhattan, New York, United States
Manhattan, New York, United States Founded: 2016
2016 Annual revenue: $50 million Hugging Face, originally known for developing a chatbot for teens, has transformed into a leading repository for prebuilt machine learning and AI models across various vendors and use cases. As a significant player in the generative AI sector, thousands of companies utilize its platform to create AI-based applications. Recently, Hugging Face has expanded its capabilities through strategic acquisitions, including the purchase of Argilla for $10 million, enhancing its data annotation capabilities, and XetHub, a collaboration platform for large-scale AI model development. These acquisitions underscore Hugging Face’s commitment to consolidating expertise and resources in the AI industry.
Jasper Generative AI platform for marketing content creation Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2021
2021 Annual revenue: $21 million Similar to ChatGPT, though with a marketing focus, Jasper uses generative AI to churn out text and images to assist companies with brand-building content creation. The AI solution learns to create in the company’s voice, no matter how mild or spiky, for brand consistency. Jasper has recently expanded its capabilities through the acquisition of Clipdrop and has joined the World Economic Forum’s Unicorn Community.
Lemon Slice (Infinity AI) Synthetic-data-as-a-service provider Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2021
2021 Annual revenue: $48,000 Lemon Slice, formerly Infinity AI, is a cutting-edge technology company that has evolved from focusing on synthetic data to developing a video foundation model. This model enables creators to generate expressive, talking characters, enhancing digital content creation. Recent updates include the release of Lemon Slice 2.5, which offers improved stability, enhanced singing capabilities, and whole-body animations. Lemon Slice has collaborated with Sonaut AI, an AI music company,to allow users to generate custom songs and animate them directly within the Lemon Slice Studio. This shift highlights the company’s expansion into more creative and interactive AI applications.
Midjourney AI-powered image generation and editing solutions Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2022
2022 Annual revenue: $200 million A generative AI service that creates images from natural language text prompts, Midjourney is one of the most popular generative AI platforms. It has already been used to generate surprisingly high-profile art: For example, the English publication The Economist has used Midjourney to create its cover image, and a Midjourney image scored top honors in a digital art contest hosted by the Colorado State Fair. Midjourney has expanded into the hardware space, establishing a new team to develop innovative hardware solutions that may complement its AI projects, potentially focusing on immersive technologies like mixed reality.
MOSTLY AI Synthetic data generation for finance sector Headquarters: Vienna, Austria
Vienna, Austria Founded: 2017
2017 Annual revenue: $7.8 million Focusing on synthetic data generation, MOSTLY AI touts that the synthetic data it creates with generative AI appears as authentic as actual consumer data. The advantage is that this data doesn’t contain the original private data, so it’s compliant with privacy and data governance standards. The company works across a range of industries, including banking and insurance.
Notion Embedded AI assistance in project management platform Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2013
2013 Annual revenue: $67.2 million Notion is a company that offers a project management platform with groundbreaking AI assistance tools for project management professionals. Its latest collection of AI features, Notion AI, is available directly inside of the Notion platform for users who want to intelligently optimize and automate their project workflows. Notion’s AI assistance can be used for task automation, note and doc summaries, action item generation, and content editing and drafting. In 2024, Notion acquired Skiff, a privacy-focused productivity platform, to enhance its suite with secure, end-to-end encrypted services, further expanding its capabilities in the productivity software market.
PlayHT AI voice generator and text-to-speech Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2016
2016 Annual revenue: $5 million PlayHT specializes in text-to-speech (TTS) technology, offering over 900 AI voices across multiple languages. It has developed a suite of products, including Text to Speech Synthesis, Text to Speech API, AI Voice Agents, and Voice Studio. This AI company supports expressive speech styles such as conversational, cheerful, empathetic, and newscaster tones, enhancing the natural quality of its voices. Additionally, PlayHT uses advanced emotional intelligence and real-time adaptation capabilities to produce nuanced and context-aware audio content. Its innovations also include voice cloning and multilingual support, making it a versatile tool for e-learning, publishing, marketing, and customer service industries.
Tabnine Generative AI coding assistant Headquarters: Tel Aviv, Israel
Tel Aviv, Israel Founded: 2013
2013 Annual revenue: $8.3 million Tabnine is an AI company that focuses on providing AI assistance for coding and product development. The tool is designed to automate and complete code wherever possible, provide coding suggestions, and do all of this work while also ensuring that all code and data remains secure and compliant. The company acquired CastorDoc in 2024 to enhance its AI-driven capabilities. It also expanded platform partnerships with AWS, Google Cloud, and Oracle Cloud Infrastructure to facilitate flexible deployment options across various infrastructures.
Stability AI Multimodal open AI model developer Headquarters: London, United Kingdom
London, United Kingdom Founded: 2019
2019 Annual revenue: Projected to be around $33.3 million Stability AI is the generative AI company behind Stable Diffusion, an AI model in multiple generations that generates images in response to user text prompts. Since its initial venture into AI image generation, the company has expanded into video, audio, 3D, and language models. Stability AI offers specialized applications such as Stable Assistant, a chatbot for text-to-image generation; Stable Artisan, a generative AI bot on Discord for multimodal content generation; and Stable Audio, a music and audio generation solution. The company has formed strategic partnerships, notably with WPP, and has shifted towards API licensing and enterprise solutions. Additionally, James Cameron has joined the board, contributing to the company’s strategic direction.
Syntho Synthetic data generation for digital twins Headquarters: Amsterdam, Netherlands
Amsterdam, Netherlands Founded: 2020
2020 Annual revenue: $1.26 million Syntho’s Syntho Engine uses generative AI to create synthetic data, offering a self-service platform that also supports smart de-identification and test data management use cases. The company creates data to build digital twins that respect privacy and GDPR regulations. Its goal is to enable the open data economy, allowing data to be shared more widely while protecting sensitive consumer data.
You.com User-friendly, customizable search solution Headquarters: Palo Alto, California, United States
Palo Alto, California, United States Founded: 2020
2020 Annual revenue: Undisclosed Should Google be concerned about competition in internet search? If so, the generative AI-driven platform You.com may be a rising contender to watch out for. Type a query into You.com, and the ChatGPT-style website will create content based on your request. Most recently, a mobile version of the tool was released to the general public.
AI Enterprise Majors
Major enterprise tech vendors that once focused on legacy hardware and software are now moving into AI, using their resources and expertise to build or acquire AI solutions. Many began investing in AI well before the ChatGPT boom, and while their tools may not grab headlines like DALL·E, they’re quietly transforming traditional systems into automated, AI-driven platforms.
Amazon Web Services (AWS) Top-tier managed services for cloud and AI Headquarters: Seattle, Washington, United States
Seattle, Washington, United States Founded: 2006
2006 Annual revenue: $107.6 billion As the top dog in the cloud computing sector, few companies are better positioned than AWS to provide AI services and machine learning to a massive customer base. True to AWS’s approach, its ever-expanding suite of tools is relentlessly focused on making AI more accessible to enterprise buyers. AWS’s long list of AI services includes quality control, machine learning, chatbots, automated speech recognition, and online fraud detection. It is one of the best providers of innovative AI managed services.
BMC Software Automated AI-driven service management (AISM) Headquarters: Houston, Texas, United States
Houston, Texas, United States Founded: 1980
1980 Annual revenue: $2 billion BMC Software, Inc. is an IT services and enterprise software company focused on automation, service management, DevOps, workflow orchestration, AIOps, and security. It supports enterprises using mainframes with its Automated Mainframe Intelligence (AMI) product line, enabling self-managing mainframe systems through AI and machine learning. BMC has expanded its capabilities through strategic acquisitions and announced plans to create two independent companies — BMC and BMC Helix — focusing on infrastructure management and AI-driven digital service management, respectively. This aims to enhance specialization and customer value in each area.
Learn how a major industry expert sees the DataOps sector by watching the eWeek video: BMC CEO Ayman Sayed on DataOps and the Autonomous Digital Enterprise.
Broadcom Enterprise security innovator with growing AI footprint Headquarters: San Jose, California, United States
San Jose, California, United States Founded: 1991
1991 Annual revenue: $51.6 billion Broadcom supplies both semiconductors and enterprise infrastructure software, serving markets from data centers to wireless, and making significant strides in the multicloud sector. Following its $69 billion acquisition of VMware in late 2023, Broadcom has bolstered its enterprise software offerings and expanded its cloud computing capabilities. The company fuels the AI market on multiple levels, notably in its generative AI business, which is poised to quadruple. In 2024, Broadcom became an investor favorite among AI stocks to watch and buy, driven by its strategic positioning and growth prospects in AI and cloud technologies.
Multicloud is highly functional but quite challenging; for tips on making it work, see the eWeek video: Broadcom’s Ganesh Janakiraman on Multicloud Challenges.
Dell Technologies Services and infrastructure provider for AI technology Headquarters: Round Rock, Texas, United States
Round Rock, Texas, United States Founded: 1984
1984 Annual revenue: $88.425 billion Dell’s APEX solution offers multicloud management and a SaaS-based IT services panel, so companies can build AI-based tools such as fraud detection, natural language processing, and recommendation engines. Through APEX, customers can access generative AI solutions and AIOps solutions for multicloud management. Dell emphasizes the AI support provided by its hardware, including PowerEdge servers and PowerScale Storage. The APEX portfolio has expanded to include cloud platforms, public cloud storage software, client devices, and compute, spanning on-premises, cloud, and edge environments.
For a closer look at how multicloud is evolving, see the eWeek video: Dell APEX’s Chad Dunn on Handling Multicloud Challenges.
HPE Rapid AI deployment and enterprise scalability provider Headquarters: Spring, Texas, United States
Spring, Texas, United States Founded: 2015
2015 Annual revenue: $30.1 billion Hewlett Packard Enterprise (HPE) is a renowned AI company that uses its hybrid cloud capabilities and strategic partnerships to accelerate AI adoption. HPE’s collaboration with NVIDIA enhances AI performance, security, and efficiency, supporting comprehensive solutions across industries. HPE’s Private Cloud AI and GreenLake platforms integrate with NVIDIA’s AI Data Platform, providing a unified data layer that streamlines AI data lifecycles and enables enterprises to run AI at scale across hybrid cloud environments.
To find out how today’s IT leaders are navigating rapid change, see the eWeek video: HPE Greenlake SVP Keith White on Change in the IT Sector.
Informatica Unified metadata intelligence through CLAIRE Headquarters: Redwood City, California, United States
Redwood City, California, United States Founded: 1993
1993 Annual revenue: $1.73 billion Informatica is an AI company that specializes in enterprise cloud data management, using its CLAIRE AI Engine to automate and scale data management tasks across multi-cloud and hybrid systems. The company’s Intelligent Data Management Cloud (IDMC) platform connects, manages, and unifies data, supporting data governance, quality, and analytics to drive digital transformation. Informatica empowers businesses to harness the power of AI by providing trusted, governed data, enabling them to realize the full potential of their data assets.
Infosys Leader in intelligent, AI-powered automation and RPA Headquarters: Bengaluru, India
Bengaluru, India Founded: 1981
1981 Annual revenue: $19.11 billion Infosys touts its AI and Automation Services teams as an enterprise-ready solution to provide AI and automation consulting, create bespoke AI platforms, and offer prebuilt cognitive modeling solutions. These solutions include robotic process automation (RPA) tools and AI chatbot models. The company is considered a leader in intelligent automation. Infosys has strengthened its capabilities by acquiring InSemi for semiconductor design services and In-Tech for engineering R&D in the automotive sector. This AI company expanded its collaboration with Citizens Financial Group to employ AI and cloud technologies in financial services.
The tech market is facing plenty of challenges; for an expert view, see the eWeek video: Infosys Consulting CEO Andrew Duncan on Tech Headwinds.
Rockwell Automation Democratized AI industrial automation Headquarters: Milwaukee, Wisconsin, United States
Milwaukee, Wisconsin, United States Founded: 1903
1903 Annual revenue: $8.264 billion Rockwell Automation is a top provider of large-scale industrial automation solutions, focusing on edge computing deployments. Its FactoryTalk Analytics LogixAI solution enables non-technical staff to access machine learning tools. In 2023, Rockwell acquired Clearpath Robotics and OTTO Motors for autonomous mobile robots. It also acquired Knowledge Lens for AI and IIoT solutions, and Verve Industrial Protection for industrial cybersecurity.
Salesforce Einstein AI for CRM users Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 1999
1999 Annual revenue: $37.9 billion Not long after OpenAI launched ChatGPT, Salesforce introduced Einstein GPT, the world’s first generative AI platform for CRM, powered by OpenAI. This platform creates personalized content across every Salesforce cloud, offering AI-driven functionalities for service, sales, marketing, and e-commerce. In a significant strategic move, Salesforce acquired Own Company, a leading data protection and management solutions provider, for $1.9 billion in cash.
To learn about the future of conversational AI, see the eWeek video: Salesforce Chief Scientist Silvio Savarese on Conversational AI.
SAP Enterprise-ready, compliant AI applications Headquarters: Walldorf, Baden-Württemberg, Germany
Walldorf, Baden-Württemberg, Germany Founded: 1972
1972 Annual revenue: $35 billion The ultimate legacy software player, known for its strength in ERP, SAP has clearly moved into the AI era. Its menu of enterprise AI solutions ranges from an AI chatbot to a platform that helps companies incorporate AI into enterprise applications. For its offering of pre-trained AI models, SAP stresses compliance and transparency, which is particularly important for large enterprise clients. SAP has acquired WalkMe, a digital adoption platform provider, which enhances user productivity and streamlines technology deployments. This acquisition complements SAP’s existing solutions like Signavio and LeanIX, further supporting business transformation initiatives by improving user adoption and workflow efficiency.
For insight on how companies are sharing analytics more widely, see the eWeek video: SAP’s Irfan Khan on ‘Analytics Everywhere’.
SAS AI with strong analytics and BI components Headquarters: Cary, North Carolina, United States
Cary, North Carolina, United States Founded: 1976
1976 Annual revenue: $3.2 billion A leader in data analytics and business intelligence, SAS’s AI menu extends from machine learning to computer vision to NLP to forecasting. Notable tools include data mining and predictive analytics with embedded AI, which boosts analytics flexibility and scope and allows an analytics program to learn and become more responsive over time. In 2024, SAS acquired Hazy’s synthetic data technology, enabling customers to generate synthetic data more effectively and securely, enhancing their AI applications.
For more details on how data can guide decision making, see the eWeek video: SAS’s Katy Salamati on Data and Intelligent Decisioning.
ServiceNow AI-powered IT service management solutions Headquarters: Santa Clara, California, United States
Santa Clara, California, United States Founded: 2004
2004 Annual revenue: $10.976 billion ServiceNow is an established enterprise in IT service management (ITSM) delivering AI solutions that democratize technology. Its predictive analytics platform allows users to deploy AI tools without extensive data science expertise, making it accessible to non-technical staff. ServiceNow provides natural language processing (NLP) tools, machine learning models, and AI-powered search and automation. The company acquired Moveworks in 2025, upgrading its enterprise search and CRM functionalities to optimize business operations.
For an expert view on how companies are using the cloud, see the eWeek video: ServiceNow’s Matt Schvimmer on Accelerating Cloud Migration.
AI Robotic Process Automation Companies
Robotics and AI automation have been around long before AI became a mainstream business tool. Early robotics, like those in auto factories, were limited to repeating simple tasks. Today, robotic process automation (RPA) uses AI to handle more complex, routine office work — like gathering files for reports — so employees can focus on higher-value tasks. While larger tech firms such as SAP, ServiceNow, and IBM include RPA in their offerings, the RPA companies in this category focus specifically on building smart automation and RPA solutions that drive productivity.
Anduril Autonomous vehicles for threat defense Headquarters: Costa Mesa, California, United States
Costa Mesa, California, United States Founded: 2017
2017 Annual revenue: $1 billion Anduril is a prominent U.S. defense technology company that creates autonomous AI solutions and other autonomous systems powered by Lattice, its open software platform The tools monitor and mitigate threats on drones and aircrafts, at sea, and on land. Its most impressive autonomous systems include underwater vehicles and air vehicles for managed threat defense. Anduril purchased Numerica’s radar and command and control businesses in January 2025, boosting its air and missile defense capabilities. Additionally, Anduril is expanding into space technology, planning to launch its own spacecraft by late 2025, diversifying its portfolio of autonomous systems across multiple domains.
Automation Anywhere Democratized approach to enterprise RPA Headquarters: San Jose, California, United States
San Jose, California, United States Founded: 2003
2003 Annual revenue: Undisclosed As a player in the all-important cloud native ecosystem, Automation Anywhere offers its Automation Co-Pilot for Business Users to democratize automation. It does this by enabling non-technical staffers to create workflow automations. In 2021, the company acquired process intelligence vendor FortressIQ to expand its tool sets, which should benefit Automation Anywhere as the RPA market evolves toward more sophisticated automation.
Learn about the rapid evolution in the automation sector by watching the eWeek video: Automation Anywhere CEO Mihir Shukla on Intelligent Automation.
EdgeVerve AI and RPA-powered digital transformation across industries Headquarters: Bangalore, Karnataka, India
Bangalore, Karnataka, India Founded: 2014
2014 Annual revenue: Undisclosed EdgeVerve brings a growing menu of pre-fabricated automations to speed up workflows in the most important and commonly needed business areas. Products include Finacle Treasury for banking and TradeEdge for supply chain management. Like the rest of the RPA sector, EdgeVerve is evolving its automation capabilities to support digital transformation; in essence, we’re heading toward a world where the office runs itself. EdgeVerve was established as a wholly-owned subsidiary of Infosys in 2014, and it continues to operate with a focus on AI, automation, and analytics, maintaining a separate sales force and structure distinct from Infosys’ core services business.
NICE RPA for intelligent call center and customer interactions Headquarters: Hoboken, New Jersey, United States
Hoboken, New Jersey, United States Founded: 1986
1986 Annual revenue: $2.735 billion A strong contender in the call center market, NICE’s RPA solutions are geared toward an array of customer-facing support functions. Significantly, its toolset includes speech and sentiment analysis, which is critical to the retail environment because it can effectively understand the emotions of callers. This type of sentiment analysis is a particularly hot area in the AI market.
Nuro AI-powered autonomous vehicles Headquarters: Mountain View, California, United States
Mountain View, California, United States Founded: 2016
2016 Annual revenue: $5.9 million Nuro, originally focused on autonomous, driverless vehicles for goods delivery, has shifted its business model to license its AI-driven Nuro Driver™ platform to automotive OEMs and mobility providers, enabling up to Level 4 autonomy in passenger and delivery vehicles. This strategic move leverages Nuro’s proven technology, which has completed over one million autonomous miles without at-fault incidents, to accelerate the adoption of autonomous technology across the transportation industry. The company continues to partner with major retailers and transport companies, including Walmart, FedEx, Kroger, and Uber Eats.
Pega RPA that predicts customer activity proactively Headquarters: Cambridge, Massachusetts, United States
Cambridge, Massachusetts, United States Founded: 1983
1983 Annual revenue: $1.5 billion As businesses seek to grow toward a more fully automated environment, Pega’s RPA architecture has kept pace, adopting a strategy that uses real-time data to guide automated customer interactions. The company touts its ability to read customer intentions, from potential purchases to imminent cancellations, before a customer acts. Overall, the company’s strategy is geared toward greater scalability to support increasingly all-encompassing automation.
For a complete overview of the RPA landscape, see our guide: Robotic Process Automation Vendors.
Shield AI AI pilot technology innovator Headquarters: San Diego, California, United States
San Diego, California, United States Founded: 2015
2015 Annual revenue: $163 million Shield AI is an innovative AI startup that has quickly gained recognition and capital for its AI pilot technology. Hivemind is an AI pilot that can fly aircraft in both commercial and battle settings, providing users with greater insights into their locations and travel paths, as well as awareness of other pilots and aircraft in their fleet. Currently, Shield AI’s technology powers several of the company’s intelligent aircraft, including jets, V-BAT teams, and Nova 2. In April 2024, Shield AI announced its intention to acquire Sentient Vision Systems, an Australian company specializing in AI-enabled real-time situational awareness, aiming to expand into the Australian market.
SS&C Blue Prism RPA for ML decisioning and process orchestration Headquarters: Warrington , England, United Kingdom
Warrington England, United Kingdom Founded: 2001
2001 Annual revenue: $5.89 billion Acquired by financial services software vendor SS&C in 2022, Blue Prism appears to have enlarged its strategy from RPA to overall business automation. This is very much in keeping with the industry shift toward more all-encompassing automation: As AI gets smarter, RPA systems are better able to keep up with these innovations and provide true value in automation. Included in the Blue Prism offering are tools that perform ML decisioning and process orchestration.
UiPath Leader in the RPA market Headquarters: New York, United States
New York, United States Founded: 2005
2005 Annual revenue: $1.308 billion A renowned leader in the RPA space, UiPath offers a broad suite of business automation tools across API integration, intelligent text processing, and low-code app development. The company’s Marketplace platform offers an extensive menu of prebuilt automations, such as extracting data from a document to automations built for Microsoft Office 365. In 2025, UiPath acquired Peak AI, adding industry-specific decision intelligence capabilities to its platform.
WorkFusion RPA for digital staffer development Headquarters: New York, United States
New York, United States Founded: 2010
2010 Annual revenue: $84 million RPA software platforms frequently work to create digital workers, otherwise known as AI-powered software robots. WorkFusion builds on this basic truth with a platform that includes six digital staffer personas. Each category of virtual worker is geared for the most common and/or important automation scenario. WorkFusion has a strong presence in the financial sector. In 2024, the company partnered with Advanced Financial Solutions to expand adoption of its AI agents in the Middle East.
Conversational AI Companies
Some users don’t want to click through menus — they want to talk to their software. Conversational AI makes that possible by using natural language processing (NLP), a branch of AI that translates human speech into computer commands. One major benefit: it makes AI accessible to non-technical users, removing the need for coding expertise and opening the door for broader adoption across teams.
Avaamo Generative AI agents for patient experience and CX Headquarters: Los Altos, California, United States
Los Altos, California, United States Founded: 2014
2014 Annual revenue: $42 million Avaamo is an AI company evolving from its roots in healthcare-focused conversational AI to delivering an autonomous AI workforce for enterprise productivity. Its flagship offering, Avaamo Agents, are AI-powered digital workers that operate independently to support operations across healthcare, employee services, and customer engagement — with multilingual capabilities and task execution. Through strategic partnerships, especially in healthcare, Avaamo enhances patient experiences and streamlines services.
boost.ai Conversational AI company with hybrid NLU tech Headquarters: Sandnes, Norway
Sandnes, Norway Founded: 2016
2016 Annual revenue: $16.24 million boost.ai offers a full menu of advanced chatbot orchestration tools to speed deployment. To help call center reps boost performance with customer calls, boost.ai provides agents with a large repository of support data. boost.ai has established significant partnerships with leading companies, including collaborations with Sage to elevate customer support and Strategic Income Solutions to improve member engagement for credit unions.
Cognigy AI-powered conversation agent coaching and optimization Headquarters: Düsseldorf, North Rhine-Westphalia, Germany
Düsseldorf, North Rhine-Westphalia, Germany Founded: 2016
2016 Annual revenue: Undisclosed A core offering of conversational AI vendors is tools that improve the performance of call center agents (or other voice-based customer reps). To serve this market, Cognigy offers Cognigy Agent Assist. The company also offers analytics tools and a low-code platform to enable users to create new bot assistants as needed for their situation.
Gridspace Generative AI for customer-focused virtual agents Headquarters: Los Angeles, California, United States
Los Angeles, California, United States Founded: 2012
2012 Annual revenue: $5 million Gridspace specializes in conversational AI and virtual call center software. It offers AI-powered virtual agents for quality assurance, revenue management, lead generation, and customer self-service. Gridspace’s platform integrates speech recognition and NLP to transform conversational interactions into structured business data, improving customer service and operational efficiency. The company has secured funding from investors including Wells Fargo and Mouro Capital.
Kore.ai DIY AI chatbots and virtual assistants Headquarters: Orlando, Florida, United States
Orlando, Florida, United States Founded: 2013
2013 Annual revenue: $206.4 million Kore.ai developed a no-code platform that enables non-technical staff to design, build, test, and deploy versatile virtual assistants across multiple channels, including web, mobile, voice assistants, and messaging platforms. This build-it-yourself approach aligns with the prevailing trend in the AI chatbot sector, so organizations can create customized solutions tailored to their specific needs. Kore.ai’s platform is distinguished by its advancedNLP capabilities, which combine Fundamental Meaning, Machine Learning, and Knowledge Graph engines to accurately interpret user intents and facilitate seamless, human-like interactions.
OneReach.ai Creator of Intelligent Digital Workers Headquarters: Denver, Colorado, United States
Denver, Colorado, United States Founded: 2013
2013 Annual revenue: $7.6 million OneReach.ai is aligning with a key trend in the conversational AI market, evolving its focus from traditional call center applications to enterprise-wide AI-powered virtual staff. This shift reflects a broader convergence between the conversational AI and RPA sectors, as companies increasingly develop full-fledged digital team members. OneReach.ai has found continued success with its comprehensive conversational agents, known as Intelligent Digital Workers.
SoundHound AI Conversational AI and knowledge bases powered by NLU Headquarters: Santa Clara, California, United States
Santa Clara, California, United States Founded: 2005
2005 Annual revenue: $85 million SoundHound AI’s voice assistants use advanced speech recognition and NLU to accurately interpret complex voice commands, enabling businesses to deliver personalized customer experiences with precise responses. SoundHound has evolved from its roots in voice recognition to conversational AI, enhanced by strategic partnerships like integrating Perplexity’s search capabilities and acquiring Amelia’s AI-driven customer service solutions.
Yellow.ai Accessible prebuilt and third-party conversational models Headquarters: San Mateo, California, United States
San Mateo, California, United States Founded: 2016
2016 Annual revenue: $45 million With an intuitive user interface, Yellow.ai’s product offering includes user-friendly prefabricated models to deploy conversational AI agents; this approach to models is quite strategic, as ease of use is a top priority in the conversational AI market. To help integrate third-party functionality, Yellow.ai has built a marketplace where customers can select third-party tools for specific tasks.
Healthcare AI Companies
Healthcare AI companies are incentivized by two major advantages. First, AI and generative AI expand what medical professionals can do—and in healthcare, better tools are often a matter of life and death. Second, AI reduces bureaucracy, a massive part of the industry, saving both time and money. Healthcare may not grab headlines, but it’s set to be a powerful driver of AI’s progress.
Activ Surgical AI-powered surgical insights Headquarters: Boston, Massachusetts, United States
Boston, Massachusetts, United States Founded: 2017
2017 Annual revenue: $6.1 million Activ Surgical is an AI healthcare company that uses AI to provide real-time surgical insights and recommendations during surgical operations. The ActivSight product, powered by the ActivEdge platform, is designed to not only give surgeons easy-to-view real-time data but also to make it possible for them to switch between dye-free and dyed visualizations, depending on their needs. Important for healthcare workers, the solution is MIS-system compatible. Additionally, Activ Surgical has partnered with Medical Innovation Solutions, a leading medical distributor in Southeast Europe, to bring its advanced visualization capabilities to hospitals across Eastern Europe.
Atomwise AI for more efficient drug development pipelines Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2012
2012 Annual revenue: $15.6 million The process of drug development has historically been slow and cumbersome, often requiring years to match compounds to develop new drugs. Atomwise aims to speed this up exponentially by using a deep learning-based discovery engine to sift through its vast database (the company claims 3 trillion compounds) to find productive matches.
For a full portrait of AI healthcare applications, see our guide: AI Top AI Healthcare Software.
Butterfly Network Various AI health assessment and ultrasound technologies Headquarters: Burlington, Massachusetts, United States
Burlington, Massachusetts, United States Founded: 2011
2011 Annual revenue: $22.4 million Butterfly Network is a medical imaging vendor that leverages AI in various applications. In 2022, the company introduced FDA-cleared AI software for ultrasound technology, and in 2023, it received FDA approval for an AI-enabled lung tool using deep learning. Butterfly Network has collaborated with HeartFocus to integrate AI-powered cardiac scan software and education tools into its ultrasound devices. In 2025, the company announced a partnership with Sonic Incytes to develop a novel liver disease assessment approach.
Cleerly AI for coronary health issue detection Headquarters: Denver, Colorado, United States
Denver, Colorado, United States Founded: 2017
2017 Annual revenue: Undisclosed In service to Cleerly’s ambitious goal of creating a world without heart attacks, the company’s artificial intelligence platform performs an analysis of non-invasive coronary computed tomography angiography (CCTA) scans to assess plaque levels in the heart. Cleerly’s algorithms mine an extensive database full of lab images to compare a patient with historical records. In early 2025, Cleerly and Bunkerhill Health announced a strategic partnership to expand access to their technologies for coronary artery disease detection and risk assessment.
ClosedLoop AI for healthcare administration and admission management Headquarters: Austin, Texas, United States
Austin, Texas, United States Founded: 2017
2017 Annual revenue: Undisclosed ClosedLoop’s data science platform uses AI to manage and monitor the healthcare landscape, focusing on improving clinical documentation, reducing out-of-network use, and predicting admission and readmission patterns. It won the CMS Artificial Intelligence Health Outcomes Challenge in April 2021. ClosedLoop’s platform offers a wide range of applications, including predicting chronic disease onset and preventing ED over-utilization. This AI company launched tools to enhance population health programs and introduced a conversational AI app for personalized health and wellness. ClosedLoop has consistently been recognized as a leader in healthcare AI, winning Best in KLAS awards for multiple years.
Corti AI call center solution for healthcare and telemedicine Headquarters: Brooklyn, New York, United States
Brooklyn, New York, United States Founded: 2016
2016 Annual revenue: $105.4 million There are numerous companies using AI to provide call center support, but Corti’s niche is the healthcare sector. To provide a virtual voice assistant geared for the healthcare sector, the company’s solution has been trained with countless hours of conversations between healthcare workers. Among other tasks, the solution can support QA on calls to telemedicine centers. Corti has further strengthened its position through notable partnerships with Tanner Health and Wolters Kluwer to improve medical coding and access to credible medical information.
Deepcell AI for cell examination and classification Headquarters: Menlo Park, California, United States
Menlo Park, California, United States Founded: 2017
2017 Annual revenue: $3.2 million Deepcell is a biotech startup that relies on AI to examine and classify cells based on morphology, enabling advanced diagnostic testing and biological discoveries. In 2024, Deepcell collaborated with NVIDIA to accelerate the use of generative AI in single-cell research, focusing on cancer, stem cells, and cell therapies. This partnership involves integrating NVIDIA’s AI technology into Deepcell’s single-cell analysis platform, using the NVIDIA Clara suite to co-develop novel algorithms for cell image analysis. Deepcell has also successfully commercialized its REM-I platform, a high-dimensional cell morphology analysis and sorting system that combines single-cell imaging, sorting, and high-dimensional analysis, facilitating discoveries in biology and developmental biology.
Enlitic AI-powered medical data management Headquarters: Fort Collins, Colorado, United States
Fort Collins, Colorado, United States Founded: 2014
2014 Annual revenue: $1.73 million Enlitic’s Curie platform uses artificial intelligence to improve data management in the service of better healthcare. The goal is to make data more accurate, useful, and uniform to enable doctors and other healthcare professionals to make better patient care decisions. The platform also supports data anonymization, which is important for patient privacy and compliance with HIPAA and other healthcare privacy regulations. Recently, Enlitic has further enhanced its capabilities by acquiring LAITEK, a global leader in medical imaging solutions to streamline patient imaging data management and usage.
Etcembly ML-driven immunology and immunotherapy engineering Headquarters: Hanwell, Oxfordshire, United Kingdom
Hanwell, Oxfordshire, United Kingdom Founded: 2019
2019 Annual revenue: Undisclosed Etcembly, an immunotherapy company, utilizes a deep machine learning library of immunology expertise and computer-assisted immunotherapy engineering to design and optimize new TCR therapies. Its platform learns directly from T-cell interactions to identify and develop appropriate TCR treatments. Through a partnership with Vector Laboratories, Etcembly has expanded its AI platform’s capabilities to enhance the stability and yield of recombinant antibody therapeutics by redesigning existing antibodies.
GE HealthCare AI orchestration for healthcare IT Headquarters: Chicago, Illinois, United States
Chicago, Illinois, United States Founded: 1994
1994 Annual revenue: $19.7 billion GE HealthCare, spun off from GE in January 2023, has launched an AI orchestration platform that integrates AI-powered clinical tools into radiology workflows for both GE and non-GE devices, improving diagnostic accuracy. In 2024, the company acquired the remaining 50 percent of Nihon Medi-Physics to expand its presence in the molecular imaging market. It also partnered with Nuffield Health to deploy AI diagnostic tools across the UK and collaborated with Sutter Health and RadNet to advance AI imaging. GE HealthCare is working with Alfred Health to implement its Command Center software for hospital operations.
Insilico Medicine AI pharmaceutical product development and design Headquarters: Boston, Massachusetts, United States
Boston, Massachusetts, United States Founded: 2014
2014 Annual revenue: $63.4 billion Insilico Medicine is a research and development company that uses artificial intelligence for smarter biology and chemistry research and pharmaceutical analytics. Its Pharma.AI suite includes PandaOmics, a tool for multi-omics novel target discovery and deep biology analysis; Chemistry42, an ML-powered tool for drug design and automated novel molecule creation; and InClinico, a tool that can both design and predict the success rate of a clinical trial.
Medtronic AI-powered polyp detection and diagnosis Headquarters: Minneapolis, Minnesota, United States
Minneapolis, Minnesota, United States Founded: 1949
1949 Annual revenue: $32.364 billion Medtronic is an innovative AI medical company, specializing in device makers. It developed the Genius AI solution, which enhances the detection of polyps in colonoscopies. The company has partnered with NVIDIA to use AI to create a range of next-gen tools for diagnosis and treatment, Medtronic also expanded its capabilities in minimally invasive surgery by acquiring Fortimedix Surgical, a Netherlands-based company focused on instruments for endoscopic and robotic procedures.
Oncora Medical AI healthcare digital assistant solutions provider Headquarters: Philadelphia, Pennsylvania, United States
Philadelphia, Pennsylvania, United States Founded: 2014
2014 Annual revenue: $683,100 Oncora Medical’s machine learning software supports oncology care by automating administrative tasks for healthcare professionals. Its platform supports physician documentation, ingesting prior notes and reports, requesting missing data, and creating necessary documentation for clinical, billing, and accreditation purposes. Oncora Medical also offers solutions for clinical workflow management, revenue cycle management, and cancer registry automation. In November 2023, they entered into a strategic partnership with ONCO, Inc. to develop advanced cancer registry, reporting, and analytics software.
Owkin AI predictive analytics for drug development Headquarters: New York, United States
New York, United States Founded: 2016
2016 Annual Revenue: $75.4 million Owkin uses AI to drive predictive analytics for the development of better drug solutions across various diseases. The company’s platform facilitates collaboration between data scientists and academic researchers, leveraging AI to enhance drug discovery and development processes. Owkin has received significant support through a strategic alliance with Sanofi, a French multinational pharmaceutical company, which includes a $180 million investment.
Paige AI AI imaging technology for cancer diagnostics Headquarters: New York, United States
New York, United States Founded: 2017
2017 Annual revenue: $29.4 million Paige AI is a generative AI company in the healthcare sector that focuses on pathology, specifically cancer diagnostics. Its detailed imaging technology, AI-driven workflows and recommendations, and other smart features assist healthcare professionals in breast and prostate cancer diagnosis as well as in optimizing hospital and lab operations. Paige collaborates with Microsoft to scale its technology globally, relying on its cloud infrastructure and AI resources to refine cancer diagnosis and treatment through advanced AI models and digital pathology solutions.
PathAI Pathology-focused AI company Headquarters: Boston, Massachusetts, United States
Boston, Massachusetts, United States Founded: 2016
2016 Annual revenue: $88.8 million PathAI is one of the most advanced pathology-focused AI companies today, giving patients, laboratories, and pharmaceutical companies alike access to AI-driven insights and solutions they need. Its AI algorithms enhance clinical trials, AI companion diagnostics, pre-screening predictions, spatial analyses, and translational research. Its algorithms and products specifically support biomarker quantification for various cancers, disease severity assessments, quality control, tumor cellularity quantification, and molecular prediction. PathAI has formed a significant partnership with Quest Diagnostics, where Quest licenses PathAI’s AISight digital pathology image management system and serves as a preferred partner for PathAI’s biopharmaceutical clients, while also collaborating on AI algorithm development. PathAI continues to expand its AISight adoption with various laboratory partners to extend its reach in the pathology sector.
Stryker AI assistance in medical procedures Headquarters: Kalamazoo, Michigan, United States
Kalamazoo, Michigan, United States Founded: 1941
1941 Annual revenue: $22.6 billion Stryker, a large and well-established medical device maker, has been aggressively expanding its offerings through strategic acquisitions. In 2021, it acquired AI firm Gauss Surgical, advancing its integration of AI technologies like the Mako robotic system. From 2024 to 2025, Stryker continued this momentum with key acquisitions — including Care.ai, Vertos Medical, NICO Corporation, Inari Medical, MOLLI Surgical, Artelon, and select products from SERF and 4WEB — broadening its presence in digital health, spine care, neurotech, vascular, oncology, and orthopedic solutions.
Tempus AI AI insights for radiology images Headquarters: Chicago, Illinois, United States
Chicago, Illinois, United States Founded: 2015
2015 Annual revenue: $693.4 million To enhance medical imaging, Arterys — now merged with Tempus Radiology — accesses cloud-based GPU processors, which it uses to support a deep learning application that examines and assesses heart ventricles. This AI-based automated measurement of ventricles allows healthcare professionals to make far more informed decisions. With its merger with Tempus, its focus has expanded to look at radiology images in different formats. Tempus has further expanded its capabilities through the acquisition of Deep 6 AI in 2025, a platform that leverages AI to streamline clinical trials by matching patients with trials more efficiently, supercharging Tempus’s network and reach in precision medicine.
Viz.ai AI platform for patient care coordination Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2016
2016 Annual revenue: $85.1 million Viz.ai offers AI-powered platforms and applications for care coordination, ensuring holistic patient care across healthcare providers. The Viz.ai One platform supports neurology, cardiovascular, vascular, trauma, and radiology by providing insights, images, alerts, and communications, enabling quicker and more accurate diagnoses. Viz.ai has established significant partnerships, including collaborations with Microsoft to integrate AI into clinical workflows, and with Cleerly and the Addario Lung Cancer Medical Institute to advance care in cardiology and oncology.
Financial Services AI Companies
It’s clear that financial services firms are actively embracing artificial intelligence. Bank of America, in a breathless note to the investment community, opined that AI is the new electricity. So what exactly does this look like in an industry that is riddled with regulations, complexities, and longtime, established vendors that may be hesitant to try something new? The companies in this category are vying to show us.
AlphaSense AI for finance intelligence in public and private companies Headquarters: New York, United States
New York, United States Founded: 2011
2011 Annual revenue: $400 million AlphaSense competes in the lucrative business data market against big players like Bloomberg. Among AlphaSense’s AI-fueled initiatives, the company is developing a solution that can summarize financial reports to more quickly reveal salient data trends. Recently, AlphaSense announced plans to acquire Tegus, which will certainly expand its financial data and workflow capabilities even further. The acquisition of Tegus, completed in July 2024 for $930 million, has significantly enhanced AlphaSense’s offerings by integrating Tegus’s extensive database of private company data and expert research into its AI-powered platform.
Brighterion (Mastercard) AI solutions developer for financial services companies Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 1999
1999 Annual revenue: $12.6 million Acquired by Mastercard in 2017, Brighterion continues to serve Mastercard’s AI needs and provide AI services to other companies. Brighterion’s AI Express offers customized AI solutions tailored for financial services companies. This AI company has collaborated with Elavon to bolster fraud protection and is working with Network International and PayU to integrate its AI solutions across various markets.
Capital One AI for loan, fraud, and customer service management Headquarters: McLean, Virginia, United States
McLean, Virginia, United States Founded: 1994
1994 Annual revenue: $27.4 billion Capital One is a prime example of how financial institutions are finding multiple ways to leverage artificial intelligence alongside tried and true business methods. The financial company’s many AI initiatives include explainable AI, which makes the loan approval process transparent; anomaly detection, which helps fight fraud; and NLP, which improves virtual assistants for customer service. In addition, Capital One is in the process of acquiring Discover Financial Services in a $35.3 billion deal, aiming to create the largest U.S. credit card issuer and a global payments platform while expanding access to underserved communities through a $265 billion community benefits plan.
DataVisor AI for fraud mitigation across transaction types Headquarters: Mountain View, California, United States
Mountain View, California, United States Founded: 2013
2013 Annual revenue: $32.5 million DataVisor deploys AI to combat fraud across many transaction types, from digital payments to fintech platforms. For instance, it monitors transactions in real time to block credit card fraud and protects ACH and Zelle payments to fight unauthorized payments.
HighRadius Machine learning technology for accounts receivable automation Headquarters: Houston, Texas, United States
Houston, Texas, United States Founded: 2006
2006 Annual revenue: $945.2 million A leading player in the accounts receivable automation software sector, HighRadius uses machine learning to help with labor-intensive tasks like matching payments with invoicing and assigning credit limits. The company acquired Cforia Software, a provider of billing and collections automation software, adding over 100 new customers globally. HighRadius partners with Citi to broaden its financial services offerings.
Intuit Financial assistant technology for business leaders Headquarters: Mountain View, California, United States
Mountain View, California, United States Founded: 1983
1983 Annual revenue: $16.3 billion Intuit provides both guided and self-service finance and tax tools through products such as TurboTax, Credit Karma, Mint, QuickBooks, and Mailchimp. The company recently released Intuit Assist, a generative AI financial assistant offering smart recommendations for SMB leaders across TurboTax, Credit Karma, QuickBooks, and Mailchimp. Additionally, Intuit acquired technology from Zendrive, improving its usage-based auto insurance product, Karma Drive, under Credit Karma. Intuit also continues to develop its AI research program, focusing on innovations such as explainable AI and generative AI.
Numerai AI-powered stock market prediction platform Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2015
2015 Annual revenue: $10.4 million Numerai operates an AI-driven hedge fund that utilizes machine learning models developed by a global network of data scientists to predict stock market movements. Through its data science competition, the Numerai Tournament, participants build predictive models using provided datasets. These models are evaluated based on performance, and contributors can stake Numeraire (NMR), the company’s cryptocurrency, on their models to potentially earn rewards or incur losses. The most effective models are integrated into Numerai’s Meta Model, which informs the company’s trading strategies.
Ocrolus Automated financial document analysis solutions Headquarters: New York, United States
New York, United States Founded: 2014
2014 Annual revenue: $252.1 million The demand for AI-driven automation in finance is significant, as firms must process vast amounts of complex data. Ocrolus addresses this need by helping banks and lenders detect fraud and make faster decisions through automated financial document analysis. It has teamed up with Dragin Technologies to improve small business financing and partnered with LendSaaS to streamline merchant cash advance (MCA) origination — focusing on deepening its capabilities through collaboration.
Signifyd AI for fraud detection and mitigation Headquarters: San Jose, California, United States
San Jose, California, United States Founded: 2011
2011 Annual revenue: $105 million Signifyd is a company that uses AI to create a “score”—from 0 to 1,000—to fight fraud in the financial sector. While the trend of deploying AI to combat financial malfeasance is sweeping the industry, Signifyd claims to distinguish itself by boosting transaction approvals and dramatically lessening false declines.
Stripe Partnership with OpenAI to improve document and content processing Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2010
2010 Annual revenue: $2.2 billion Stripe is a SaaS-based financial services company renowned for its user-friendly payment processing features. Recently, Stripe has made significant strides in both AI and digital assets. It has partnered with OpenAI, deploying GPT-4 for enhanced documentation and content generation in Stripe Docs, while also supporting OpenAI’s checkout processes through Stripe Billing. Stripe has also expanded its support to over 700 AI agent startups. In a major move into digital assets, Stripe acquired Bridge, a stablecoin orchestration platform, for $1.1 billion, marking its largest acquisition to date.
Zest AI AI for borrower data research optimization Headquarters: Burbank, California, United States
Burbank, California, United States Founded: 2009
2009 Annual revenue: $21 million Zest AI uses AI to improve credit underwriting for financial institutions. Its machine learning models analyze borrower data to enhance risk assessment, enabling lenders to make more accurate decisions and extend credit to individuals with limited credit histories. The company offers AI-driven tools like LuLu Pulse, a generative AI-powered lending intelligence platform giving strategic insights and performance metrics to credit unions. Zest AI’s technology integrates alternative data sources and advanced analytics to promote fair and inclusive lending practices.
Education AI Companies
One of the great promises of AI in education is facilitating one-on-one tutoring and coaching, to markedly boost student performance. If this comes to fruition, AI teachers will conduct lessons at a far-lower cost than human tutors. AI can also support teachers, helping them quickly craft lesson plans and other educational resources. All of this is simply guesswork, as AI has only started to prove its capabilities in this area. In any case, learning how to use AI will become a core skill for students as it becomes woven into every element of work and culture.
Amira Learning AI for gamified reading and literacy training Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2018
2018 Annual revenue: $13.3 million Amira Learning is an AI company focused on improving student literacy through automated reading fluency and comprehension support. In June 2024, it merged with Istation to expand its reach in K–12 education, targeting 15% market share and over 1,800 school districts by year’s end. Amira also partners with government agencies, including the Louisiana Department of Education, to provide AI tutoring tools to thousands of students across multiple districts.
Carnegie Learning AI education app for mathematics Headquarters: Pittsburgh, Pennsylvania, United States
Pittsburgh, Pennsylvania, United States Founded: 1998
1998 Annual revenue: $289.9 million Carnegie Learning, currently owned by Madison Dearborn, continues to focus on the K-12 market with its renowned MATHia with LiveLab, an advanced AI learning app. This app utilizes an AI-powered cognitive learning system to support math education, providing students with personalized one-on-one interactions that allow them to work at a pace tailored to their skill level. Since Madison Dearborn’s investment in 2020, Carnegie Learning has doubled in size and made several strategic acquisitions, including Scientific Learning, Zorbits, Muse Global’s curriculum assets, and Literacy Design Collaborative.
CENTURY Algorithmic matching for student learning programs Headquarters: London, United Kingdom
London, United Kingdom Founded: 2013
2013 Annual revenue: $17.5 million CENTURY is a U.K.-based educational platform company that uses neuroscience to enable enhanced learning in various high school and college core topics. The company uses algorithms similar to those used at Netflix and Amazon to match previous student experiences with what they should focus on next for optimal educational progress. Additionally, the platform offloads some repetitive teaching tasks so teachers can spend more time focusing on students’ needs. CENTURY has been involved in supporting Syrian refugee children by implementing its AI technology in public schools in Lebanon, in partnership with the Lebanese Ministry of Education, to improve access to quality education.
Cognii AI for creative student assessment formats Headquarters: San Francisco, California, United States
San Francisco, California, United States Founded: 2013
2013 Annual revenue: Undisclosed Cognii’s Virtual Learning Assistant (VLA) platform speaks with students in real time, providing one-on-one coaching. The goal is to transcend the limits of a multiple-choice question format and offer a wide-ranging conversation. The company’s NLP tools respond to students’ own language styles.
Duolingo OpenAI-powered language-learning technology Headquarters: Pittsburgh, Pennsylvania, United States
Pittsburgh, Pennsylvania, United States Founded: 2011
2011 Annual revenue: $748 million Duolingo is an edtech compa
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"position": 2,
"query": "AI employers"
},
{
"date": "2023/09/01",
"position": 2,
"query": "artificial intelligence employers"
},
{
"date": "2023/10/01",
"position": 2,
"query": "AI employers"
},
{
"date": "2023/10/01",
"position": 2,
"query": "artificial intelligence employers"
},
{
"date": "2023/11/01",
"position": 1,
"query": "AI employers"
},
{
"date": "2023/12/01",
"position": 2,
"query": "artificial intelligence employers"
},
{
"date": "2024/02/01",
"position": 2,
"query": "AI employers"
},
{
"date": "2024/03/01",
"position": 4,
"query": "artificial intelligence employers"
},
{
"date": "2024/04/01",
"position": 1,
"query": "AI employers"
},
{
"date": "2024/05/01",
"position": 2,
"query": "AI employers"
},
{
"date": "2024/07/01",
"position": 7,
"query": "artificial intelligence employers"
},
{
"date": "2024/08/01",
"position": 5,
"query": "artificial intelligence employers"
},
{
"date": "2024/09/01",
"position": 2,
"query": "AI employers"
},
{
"date": "2024/10/01",
"position": 2,
"query": "AI employers"
},
{
"date": "2024/10/01",
"position": 1,
"query": "artificial intelligence employers"
},
{
"date": "2024/11/01",
"position": 1,
"query": "AI employers"
},
{
"date": "2024/11/01",
"position": 4,
"query": "artificial intelligence employers"
},
{
"date": "2024/12/01",
"position": 1,
"query": "AI employers"
},
{
"date": "2024/12/01",
"position": 4,
"query": "artificial intelligence employers"
},
{
"date": "2025/01/01",
"position": 2,
"query": "AI employers"
},
{
"date": "2025/03/01",
"position": 7,
"query": "artificial intelligence employers"
},
{
"date": "2025/04/01",
"position": 12,
"query": "AI employers"
},
{
"date": "2025/04/08",
"position": 51,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/04/01",
"position": 10,
"query": "artificial intelligence employers"
}
] |
The Top 15 Employers Hiring Artificial Intelligence Talent
|
The Top 15 Employers Hiring Artificial Intelligence Talent
|
https://careereducation.rochester.edu
|
[] |
Artificial intelligence (AI) is the hottest field in technology. Companies use AI to automate tasks typically done by people, and major tech firms see it as the ...
|
Artificial intelligence (AI) is the hottest field in technology. Companies use AI to automate tasks typically done by people, and major tech firms see it as the foundation for their next generation of products. But there’s a staggering talent shortage — fewer than 10,000 people in the world have the skill set to conduct important AI research, according to technology and consulting firm Element AI. The shortage has driven salaries sky-high: AI specialists reportedly fetch compensation of $300,000 to $500,000.
| 2021-09-15T00:00:00 |
2021/09/15
|
https://careereducation.rochester.edu/resources/the-top-15-employers-hiring-artificial-intelligence-talent/
|
[
{
"date": "2022/12/01",
"position": 7,
"query": "AI employers"
},
{
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"position": 4,
"query": "AI employers"
},
{
"date": "2023/02/01",
"position": 4,
"query": "AI employers"
},
{
"date": "2023/04/01",
"position": 4,
"query": "AI employers"
},
{
"date": "2023/05/01",
"position": 5,
"query": "artificial intelligence employers"
},
{
"date": "2023/06/01",
"position": 4,
"query": "artificial intelligence employers"
},
{
"date": "2023/07/01",
"position": 4,
"query": "AI employers"
},
{
"date": "2023/08/01",
"position": 4,
"query": "AI employers"
},
{
"date": "2023/08/01",
"position": 4,
"query": "artificial intelligence employers"
},
{
"date": "2023/09/01",
"position": 4,
"query": "AI employers"
},
{
"date": "2023/09/01",
"position": 5,
"query": "artificial intelligence employers"
},
{
"date": "2023/10/01",
"position": 4,
"query": "AI employers"
},
{
"date": "2023/10/01",
"position": 6,
"query": "artificial intelligence employers"
},
{
"date": "2023/11/01",
"position": 4,
"query": "AI employers"
},
{
"date": "2023/12/01",
"position": 8,
"query": "artificial intelligence employers"
},
{
"date": "2024/02/01",
"position": 4,
"query": "AI employers"
},
{
"date": "2024/03/01",
"position": 5,
"query": "artificial intelligence employers"
},
{
"date": "2024/04/01",
"position": 3,
"query": "AI employers"
},
{
"date": "2024/05/01",
"position": 6,
"query": "AI employers"
},
{
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"position": 10,
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},
{
"date": "2024/08/01",
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},
{
"date": "2024/09/01",
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},
{
"date": "2024/10/01",
"position": 4,
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},
{
"date": "2024/10/01",
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},
{
"date": "2024/11/01",
"position": 4,
"query": "AI employers"
},
{
"date": "2024/11/01",
"position": 21,
"query": "artificial intelligence employers"
},
{
"date": "2024/12/01",
"position": 4,
"query": "AI employers"
},
{
"date": "2024/12/01",
"position": 6,
"query": "artificial intelligence employers"
},
{
"date": "2025/03/01",
"position": 5,
"query": "artificial intelligence employers"
},
{
"date": "2025/04/01",
"position": 6,
"query": "AI employers"
},
{
"date": "2025/04/01",
"position": 4,
"query": "artificial intelligence employers"
}
] |
Top 16 AI Companies Hiring in 2025 - Startup & Enterprise | Reclaim
|
Top 16 AI Companies Hiring in 2025 - Startup & Enterprise
|
https://reclaim.ai
|
[] |
What are the top AI companies to work for in 2024? Compare startup and enterprise jobs, salaries, PTO, remote work, benefits, and work-life balance.
|
Artificial intelligence (AI) has revolutionized the way we live, work, and interact with the world around us. From self-driving cars to virtual assistants, AI is quickly becoming an integral part of our daily lives. And it’s going to become more prevalent with each passing day, as some believe the tech will be "as transformative as the Industrial Revolution," if not more so.
While previous decades were defined as an AI winter (where little AI research, development, or funding occurred), much has changed recently – especially with the release of generative AI tools like ChatGPT and Midjourney. That winter chill has officially thawed, with massive influxes of investments pouring in both startups and Big Tech giants alike. With all that money and growth, the demand for skilled AI professionals has never been higher.
So, whether you're a seasoned A professional or just starting out, there's never been a better time to work in the AI revolution. In this blog post, explore the best AI companies to work for in 2024 and the exciting career opportunities they offer.
1. Reclaim.ai
Reclaim.ai is an AI-powered startup smart calendar app that optimizes and defends the schedules of busy pros and teams. The heart of the company's mission is that priorities — not random meetings — should guide your workweek, and your time should be oriented around the stuff that really matters. Reclaim automatically blocks time for your tasks, habits, meetings, and breaks at the best time in your schedule to save up to 40% of your workweek.
Reclaim.ai is a rapidly growing startup backed by some of the top venture firms in the US, including Operator Partners, Index Ventures, Gradient Ventures, and Flying Fish. The AI company is looking for experienced Senior Java Engineers to help develop the smartest, fastest, conversational scheduling experience ever – along with developing backend services and APIs, evolving Reclaim's persistence layer, integrating into various collaboration platforms, and designing and deploying their cloud infrastructure.
Hiring job positions: Engineers
Engineers Company size: 11-50
11-50 Work policy & hours: Remote, flexible hours
Remote, flexible hours Insurance: Full health, dental, & vision benefits
Full health, dental, & vision benefits Retirement: 401k program
401k program PTO: Unlimited PTO, plus all federal holidays observed
Unlimited PTO, plus all federal holidays observed Salary range: $140k – $220k
$140k – $220k Equity available: Yes
Apply for Reclaim AI jobs →
2. OpenAI
OpenAI is a research organization dedicated to advancing artificial intelligence in a safe and beneficial manner. The organization was founded in 2015 by a group of tech industry leaders, including Elon Musk and Sam Altman. OpenAI aims to create AI systems capable of understanding natural language, learning from experience, and achieving human-like intelligence.
Recently, OpenAI has been making headlines for its innovative language model, ChatGPT, which can generate human-like responses to text prompts. This breakthrough has sparked excitement among researchers, developers, and businesses who can use ChatGPT to improve customer service, generate content, and automate tasks. It has also set the record for the fastest-growing consumer application in history, with over 100 million monthly active users in just two months. With such monumental growth, it should be no surprise that the company is actively recruiting talented individuals passionate about AI.
Hiring job positions: Engineering, Operations, Sales, Legal
Engineering, Operations, Sales, Legal Company size: 201-500
201-500 Work policy & hours: Hybrid, some flexible hours
Hybrid, some flexible hours Insurance: Full health, dental, & vision benefits
Full health, dental, & vision benefits Retirement: 401k program, 4% match
401k program, 4% match PTO: Unlimited PTO, 18+ company holidays
Unlimited PTO, 18+ company holidays Salary range: $130k - $450k
$130k - $450k Equity available: No
Apply for OpenAI AI jobs →
3. Anthropic
Anthropic, founded by AI safety veterans from OpenAI, is on a mission to build reliable, human-understandable AI systems. This year, they've made waves with their first public product, Claude, an AI assistant with impressive conversational skills. Recent research breakthroughs include uncovering potential biases in large language models and developing techniques for the safer scaling of these powerful tools.
Looking ahead, Anthropic is gearing up for an exciting 2024. They've secured major investments from tech giants like Amazon and Google, fueling their ambitious agenda. And most importantly, they're actively hiring! If you're passionate about AI safety and building the future of intelligent technology, be sure to check out their open positions. Join a collaborative team working at the forefront of this impactful field and help shape the responsible development of AI.
Hiring job positions: Engineering, Operations, Product, Sales, Legal, Research
Engineering, Operations, Product, Sales, Legal, Research Company size: 51-200
51-200 Work policy & hours: Hybrid, some flexible hours
Hybrid, some flexible hours Insurance: Full health, dental, & vision benefits
Full health, dental, & vision benefits Retirement: 401k program, 4% match
401k program, 4% match PTO: Unlimited PTO,
Unlimited PTO, Salary range: $115k - $600k
$115k - $600k Equity available: Yes
Apply for Anthropic AI jobs →
4. Grammarly
Grammarly is a tech startup that offers an online writing tool to help users improve their writing skills by detecting and correcting grammatical errors, spelling mistakes, and punctuation errors. Its AI-powered assistant is designed to provide reliable suggestions for enhancing the overall quality of the written content. Grammarly is a highly efficient tool that can be used across various platforms, including web browsers, desktop applications, and mobile devices.
The company has recently grown to 30 million monthly active users, and to accommodate its growing user base and expand its services, Grammarly has been actively seeking new talent in various roles. The company has been making significant efforts to acquire skilled professionals in artificial intelligence, natural language processing, and machine learning.
Hiring job positions: Engineering, Design, Operations, Marketing, Sales
Engineering, Design, Operations, Marketing, Sales Company size: 501-1,000
501-1,000 Work policy & hours: Remote-first hybrid, flexible hours
Remote-first hybrid, flexible hours Insurance: Full health, dental, & vision benefits
Full health, dental, & vision benefits Retirement: 401k program
401k program PTO: 20 days of vacation accrual, paid sick days & holidays
20 days of vacation accrual, paid sick days & holidays Salary range: $160k - $300K
$160k - $300K Equity available: Yes
Apply for Grammarly AI jobs →
5. Hive
Hive is an AI startup focused on building the next generation of intelligent automation solutions. Specifically, the company offers cloud-based AI solutions for understanding content, providing developers with a portfolio of best-in-class, pre-trained AI models that serve billions of API requests per month.
Hive counts some of the world's largest companies as its customers, who use its AI models to help solve their challenges in content moderation, logo detection, OCR, and more. The company has raised over $120 million in funding from investors such as General Catalyst, 8VC, Tomales Bay Capital, and Glynn Capital, and is hiring in dozens of roles to support its ongoing growth.
Hiring job positions: Engineering, Product, Design, Operations, Sales, Legal
Engineering, Product, Design, Operations, Sales, Legal Company size: 51-200
51-200 Work policy & hours: Onsite, standard full-time hours
Onsite, standard full-time hours Insurance: Full health, dental, & vision benefits
Full health, dental, & vision benefits Retirement: Unknown
Unknown PTO: Paid vacation
Paid vacation Salary range: $90k - $300k
$90k - $300k Equity available: Yes
Apply for Hive AI jobs →
6. Sanctuary
Sanctuary is a tech startup developing the world's first human-like intelligence in general-purpose robots designed to help people work more safely, efficiently, and sustainably. Their robots aim to make it possible to do a job from anywhere (without being there in person), help address labor shortages worldwide, and assist those who might be less capable of physical work.
Being a startup focused on building learning machines, Sanctuary is actively looking for the world's best AI and ML research engineers, data scientists, software engineers, simulation experts, mechanical engineers, electronics and electrical engineers, and robotics and control engineers.
Hiring job positions: Engineering, Operations, Marketing
Engineering, Operations, Marketing Company size: 51-200
51-200 Work policy & hours: Remote or onsite, flexible hours
Remote or onsite, flexible hours Insurance: Full health, dental, & vision benefits
Full health, dental, & vision benefits Retirement: Unknown
Unknown PTO: Paid vacation, sick days, & holidays
Paid vacation, sick days, & holidays Salary range: $80k - $185k
$80k - $185k Equity available: Yes
Apply for Sanctuary AI jobs →
7. Lambda
Lambda is a cloud provider of GPU hardware access for deep learning that is used by dozens of Fortune 500 companies and the leading AI and machine learning researchers. Lambda's hardware and software are optimized for deep learning (one of the most computationally intensive ML techniques), such that the company bills itself as the only public cloud designed for training large language and foundation models.
Lambda is still a fairly early-stage startup that has raised $44 million in a Series B round of funding. However, the company already counts engineers and researchers at the cutting edge of the AI field as customers, including companies like Intel, Microsoft, Amazon Research, Kaiser Permanente, MIT, Stanford, Harvard, Caltech, and the Department of Defense. So, Lambda is actively hiring for dozens of different roles to help support its growth.
Hiring job positions: Engineering, Product, Marketing, Sales, Manufacturing
Engineering, Product, Marketing, Sales, Manufacturing Company size: 51-200
51-200 Work policy & hours: Remote or onsite, flexible hours
Remote or onsite, flexible hours Insurance: Full medical, dental, & vision
Full medical, dental, & vision Retirement: 401k program
401k program PTO: Flexible PTO, 12 paid holidays, 5 paid sick days
Flexible PTO, 12 paid holidays, 5 paid sick days Salary range: $100k - $250k
$100k - $250k Equity available: Yes
Apply for Lambda AI jobs →
8. Dataiku
Dataiku is a tech unicorn that provides an enterprise AI and machine learning platform for organizations to build and deploy their predictive models. Users are able to collaborate on data projects through the platform, and easily integrate their existing systems so everyone can leverage data and AI everywhere they work. Dataiku's product suite includes data preparation, data visualization, DataOps, AI/ML, and analytics tools.
Dataiku was founded in Paris in 2013 and reached the elusive unicorn status (a private company valued at more than $1 billion) in 2019. The company is backed by many heavyweight investors and partners, including CapitalG, Tiger Global, and Serena, and has raised over $840 million in funding. So, Dataiku is rapidly hiring for dozens of positions across many departments.
Hiring job positions: Engineering, Product, Sales, Marketing, Operations
Engineering, Product, Sales, Marketing, Operations Company size: 1,001-5,000
1,001-5,000 Work policy & hours: Remote or onsite, flexible hours
Remote or onsite, flexible hours Insurance: Full medical, dental, & vision
Full medical, dental, & vision Retirement: 401k program
401k program PTO: 11 paid holidays, 20 vacation days,
11 paid holidays, 20 vacation days, Salary range: 80k - 200k
80k - 200k Equity available: Yes
Apply for Dataiku AI jobs →
9. Tessian
Tessian is a tech startup that provides a cloud email security platform to intelligently protect organizations against advanced threats and data loss on email. Using machine learning and behavioral data science, Tessian aims to detect and prevent threats such as phishing, spear-phishing, and other types of social engineering attacks. They work with businesses of all sizes to protect their employees and sensitive information from cyber threats.
Tessian has raised over $120 million from investors such as March Capital, Sequoia, Accel, and Balderton and is growing rapidly, hiring in dozens of engineering, design, product, marketing, sales, and operations roles.
Hiring job positions: Engineering, Product, Design, Operations, Marketing, Sales
Engineering, Product, Design, Operations, Marketing, Sales Company size: 201-500
201-500 Work policy & hours: Remote or onsite, flexible hours
Remote or onsite, flexible hours Insurance: Full medical, dental, & vision
Full medical, dental, & vision Retirement: 401k program, up to 5% match
401k program, up to 5% match PTO: Paid holidays & sick days, 25 days annual leave
Paid holidays & sick days, 25 days annual leave Salary range: $100k - $300k
$100k - $300k Equity available: Yes
Apply for Tessian AI jobs →
10. Weights & Biases
Weights & Biases (W&B) is a tech startup that provides a developer-first MLOps platform that offers performance visualization tools for machine learning. As such, W&B is pretty similar to a GitHub for ML models. Their visualization tools can help companies debug, compare, and reproduce their machine learning models, whether it be architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions.
W&B's product is widely used by AI researchers at companies like OpenAI, Lyft, Github, and MILA and has raised over $200 million in funding. So, the company is actively hiring in a number of roles to grow the product and scale.
Hiring job positions: Engineering, Product, Marketing, Sales, Legal
Engineering, Product, Marketing, Sales, Legal Company size: 51-200
51-200 Work policy & hours: Remote, standard full-time hours
Remote, standard full-time hours Insurance: 100% Medical, Dental, & Vision
100% Medical, Dental, & Vision Retirement: 401k program
401k program PTO: Unlimited PTO
Unlimited PTO Salary range: $100k - $160k
$100k - $160k Equity available: Yes
Apply for Weights & Biases AI jobs →
11. Amazon
Amazon is a global tech company specializing in e-commerce, cloud computing, digital streaming, and artificial intelligence (AI). A company so big, it practically needs no introduction. Founded in 1994 by Jeff Bezos as an online bookstore, Amazon is today one of the largest retailers and cloud providers (AWS) in the world, and extensively uses machine and deep learning across all its areas.
As a result, both Amazon and AWS are heavily investing in AI services, especially with a new platform called Bedrock which aims to give customers access to language models to rival that of OpenAI and Google. So, Amazon is looking for software engineers, development managers, product managers, and scientists to help expand and build tools across their AI stack.
Hiring job positions: Engineering, Product, Operations, Research, Administration
Engineering, Product, Operations, Research, Administration Company size: +1,500,000
+1,500,000 Work policy & hours: Onsite, flexible hours
Onsite, flexible hours Insurance: Full health, dental, & vision benefits
Full health, dental, & vision benefits Retirement: 401k program, 2% match
401k program, 2% match PTO: Accrued on a per-pay-period basis
Accrued on a per-pay-period basis Salary range: $110k - $350k
$110k - $350k Equity available: Yes
Apply for Amazon AI jobs →
12. NVIDIA
NVIDIA is a world-renowned technology company specializing in graphics processing units (GPUs) and artificial intelligence (AI). The company has been at the forefront of AI research and development for years and has made significant contributions to the field. NVIDIA's GPUs are widely used to train deep learning models, and the company has developed software and hardware solutions to optimize AI workflows.
Just this year, NVIDIA founder and CEO Jensen Huang announced several partnerships with Google, Microsoft, and Oracle, among others, to bring new AI, simulation, and collaboration capabilities to every industry. With this massive investment in partnerships, NVIDIA is actively recruiting top AI talent to help scale its AI efforts.
Hiring job positions: Engineering, Data & Analytics, Research, Sales
Engineering, Data & Analytics, Research, Sales Company size: +25,000
+25,000 Work policy & hours: Remote or onsite, flexible hours
Remote or onsite, flexible hours Insurance: Full health, dental, & vision benefits
Full health, dental, & vision benefits Retirement: 401k program, dollar-for-dollar match every pay period (up to $6,000)
401k program, dollar-for-dollar match every pay period (up to $6,000) PTO: Flexible PTO, all federal holidays observed
Flexible PTO, all federal holidays observed Salary range: $150k - $300k+
$150k - $300k+ Equity available: Yes
Apply for NVIDIA AI jobs →
13. IBM
IBM is a global tech company that provides hardware, software, and consulting services. In recent years, IBM has focused on artificial intelligence (AI) and has made significant strides in the field. Jeopardy! fans may already be familiar, as IBM's Watson, a natural language question-answering system, competed and beat two of the game show's greatest champions in 2011.
However, IBM offers many other business-grade AI products and analytics solutions designed to streamline the implementation of AI, ensure a solid data infrastructure, and prioritize positive results and ethical practices. Researchers at the company are developing the next generation of AI software and hardware advances to enterprise AI, and are actively recruiting AI talent in various roles to help them reach their goals.
Hiring job positions: Engineering, Product, Design, Operations, Data & Analytics, Research, Sales
Engineering, Product, Design, Operations, Data & Analytics, Research, Sales Company size: +200,000
+200,000 Work policy & hours: Remote or onsite, flexible hours
Remote or onsite, flexible hours Insurance: Full health, dental, & vision benefits
Full health, dental, & vision benefits Retirement: 401k program, 5% match
401k program, 5% match PTO: Accrued on a per pay-period basis
Accrued on a per pay-period basis Salary range: $100k - $250k
$100k - $250k Equity available: Yes
Apply for IBM AI jobs →
14. Alphabet (Google)
Alphabet Inc is a global conglomerate (and parent company of Google) focusing on internet-related services, products, computer software, and hardware. Alphabet has also long been involved in developing artificial intelligence (AI) through its collaboration with DeepMind, a London-based AI research company that Google acquired in 2014. DeepMind's research focuses on developing AI systems that can learn and improve independently, without human intervention. This includes applications in machine learning, natural language processing, and robotics.
Recently, in the ongoing AI race across tech, Alphabet merged DeepMind with Google Brain to accelerate progress in AI, notably prioritizing the development and release of Bard, a ChatGPT competitor. Alphabet is ramping up its acquisition of top AI talent, hiring for positions in dozens of departments.
Hiring jobs positions: Engineering, Product, Design, Operations, Sales, Administration, Legal
Engineering, Product, Design, Operations, Sales, Administration, Legal Company size: +190,000
+190,000 Work policy & hours: Onsite, standard full-time hours
Onsite, standard full-time hours Insurance: Full health, dental, & vision benefits
Full health, dental, & vision benefits Retirement: 401k program, matches 50% up to 3%
401k program, matches 50% up to 3% PTO: Minimum 20 vacation days per year, unlimited sick days, and all federal holidays observed
Minimum 20 vacation days per year, unlimited sick days, and all federal holidays observed Salary range: $100k - $300k
$100k - $300k Equity available: Yes
Apply for Alphabet AI jobs →
15. Microsoft
Microsoft is a technology giant that has been around since 1975. The company is best known for its Windows operating system, Office suite, and Xbox consoles. In recent years, Microsoft has invested heavily in artificial intelligence (AI) and machine learning to develop next-generation products and services.
One of Microsoft's significant partnerships in the AI space is with OpenAI, a research organization focused on developing safe AI technologies. Microsoft first invested $1 billion in OpenAI in 2019. However, this investment has since grown to $13 billion, signaling an extended partnership to build new AI models and tools. OpenAI also uses Microsoft's Azure cloud platform to develop and test its AI models. Given such a massive financial stake in developing AI, the company is actively looking to acquire the top AI talent.
Hiring job positions: Engineering, Product, Design, Operations, Sales, Administration, Legal
Engineering, Product, Design, Operations, Sales, Administration, Legal Company size: +200,000
+200,000 Work policy & hours: Hybrid, flexible hours
Hybrid, flexible hours Insurance: Full health, dental, & vision benefits
Full health, dental, & vision benefits Retirement: 401k program, match up to $11,250 per year
401k program, match up to $11,250 per year PTO: Unlimited PTO, plus all federal holidays observed
Unlimited PTO, plus all federal holidays observed Salary range: $100k - $350k
$100k - $350k Equity available: Yes
Apply for Microsoft AI jobs →
16. Accenture
Accenture is a leading global professional services company that provides strategy, consulting, digital, technology, and operations services. Just this week, the company announced a $3 billion investment over the span of three years in its Data & AI practice to help its clients rapidly and responsibly advance and use AI to support their growth, efficiency, and resilience.
But this investment isn’t the first time Accenture has dipped its toes in AI waters. The company holds over 1,450 AI patents and pending applications worldwide, and a portfolio of client solutions that spans a wide range of industries. And to support their new and ongoing efforts to develop and provide AI services, Accenture is currently hiring for various roles.
Hiring jobs positions: Engineering, Design, Strategy, Operations, Marketing, Sales, Administration, Legal
Engineering, Design, Strategy, Operations, Marketing, Sales, Administration, Legal Company size: +650,000
Work policy & hours: Remote or onsite, flexible hours
Remote or onsite, flexible hours Insurance: Full health, dental, & vision benefits
Full health, dental, & vision benefits Retirement: 401k program, $1 for $1 match up to 6%
401k program, $1 for $1 match up to 6% PTO: 17 - 27 days of PTO, 8 standard holidays, and 2 culture days
17 - 27 days of PTO, 8 standard holidays, and 2 culture days Salary range: $40K - $200k
$40K - $200k Equity available: Yes
Apply for Accenture AI jobs →
Shape AI's future at top companies hiring now 🤖
AI is transforming the job market as much as it’s revolutionizing our society. From cutting-edge tech startups to established industry leaders, these companies offer exciting roles for those looking to work in the field, and there's no shortage of opportunities to learn and grow with these top AI companies. With their innovative technologies and forward-thinking cultures, they will undoubtedly shape AI's future and beyond.
Did we miss any AI companies that should be on this list? What are the most innovative and exciting companies in the space? Tweet us @reclaimai to let us know!
| 2022-12-01T00:00:00 |
https://reclaim.ai/blog/top-ai-companies-hiring
|
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},
{
"date": "2023/06/23",
"position": 9,
"query": "machine learning job market"
},
{
"date": "2023/06/23",
"position": 47,
"query": "machine learning workforce"
},
{
"date": "2023/07/01",
"position": 12,
"query": "AI employers"
},
{
"date": "2023/08/01",
"position": 8,
"query": "AI employers"
},
{
"date": "2023/08/01",
"position": 12,
"query": "artificial intelligence employers"
},
{
"date": "2023/09/01",
"position": 9,
"query": "AI employers"
},
{
"date": "2023/09/01",
"position": 7,
"query": "artificial intelligence employers"
},
{
"date": "2023/10/01",
"position": 7,
"query": "AI employers"
},
{
"date": "2023/10/01",
"position": 10,
"query": "artificial intelligence employers"
},
{
"date": "2023/11/01",
"position": 6,
"query": "AI employers"
},
{
"date": "2023/12/01",
"position": 10,
"query": "artificial intelligence employers"
},
{
"date": "2024/03/01",
"position": 12,
"query": "artificial intelligence employers"
},
{
"date": "2024/04/01",
"position": 12,
"query": "AI employers"
},
{
"date": "2024/05/01",
"position": 9,
"query": "AI employers"
},
{
"date": "2024/07/01",
"position": 18,
"query": "artificial intelligence employers"
},
{
"date": "2024/08/01",
"position": 11,
"query": "artificial intelligence employers"
},
{
"date": "2024/09/01",
"position": 6,
"query": "AI employers"
},
{
"date": "2024/10/01",
"position": 9,
"query": "AI employers"
},
{
"date": "2024/10/01",
"position": 8,
"query": "artificial intelligence employers"
},
{
"date": "2024/11/01",
"position": 9,
"query": "AI employers"
},
{
"date": "2024/11/01",
"position": 14,
"query": "artificial intelligence employers"
},
{
"date": "2024/12/01",
"position": 6,
"query": "AI employers"
},
{
"date": "2024/12/01",
"position": 7,
"query": "artificial intelligence employers"
},
{
"date": "2025/01/01",
"position": 5,
"query": "AI employers"
},
{
"date": "2025/01/01",
"position": 99,
"query": "artificial intelligence hiring"
},
{
"date": "2025/03/01",
"position": 16,
"query": "artificial intelligence employers"
},
{
"date": "2025/04/01",
"position": 13,
"query": "AI employers"
},
{
"date": "2025/04/01",
"position": 17,
"query": "artificial intelligence employers"
}
] |
|
Largest AI companies by market capitalization
|
Largest AI companies by market capitalization
|
https://companiesmarketcap.com
|
[] |
This is the list of the largest AI companies by market capitalization. An "AI company" is defined as a company that is engaged in or using Artificial ...
|
This is the list of the largest AI companies by market capitalization. An "AI company" is defined as a company that is engaged in or using Artificial Intelligence technologies such as machine learning, computer vision or neuronal networks.
| 2022-12-01T00:00:00 |
https://companiesmarketcap.com/artificial-intelligence/largest-ai-companies-by-marketcap/
|
[
{
"date": "2022/12/01",
"position": 11,
"query": "AI employers"
},
{
"date": "2023/01/01",
"position": 12,
"query": "AI employers"
},
{
"date": "2023/02/01",
"position": 13,
"query": "AI employers"
},
{
"date": "2023/02/15",
"position": 3,
"query": "artificial intelligence employers"
},
{
"date": "2023/05/01",
"position": 56,
"query": "artificial intelligence employers"
},
{
"date": "2023/06/01",
"position": 62,
"query": "artificial intelligence employers"
},
{
"date": "2023/07/01",
"position": 14,
"query": "AI employers"
},
{
"date": "2023/08/01",
"position": 11,
"query": "AI employers"
},
{
"date": "2023/08/01",
"position": 44,
"query": "artificial intelligence employers"
},
{
"date": "2023/09/01",
"position": 11,
"query": "AI employers"
},
{
"date": "2023/09/01",
"position": 52,
"query": "artificial intelligence employers"
},
{
"date": "2023/10/01",
"position": 11,
"query": "AI employers"
},
{
"date": "2023/10/01",
"position": 58,
"query": "artificial intelligence employers"
},
{
"date": "2023/12/01",
"position": 56,
"query": "artificial intelligence employers"
},
{
"date": "2024/03/01",
"position": 53,
"query": "artificial intelligence employers"
},
{
"date": "2024/04/01",
"position": 15,
"query": "AI employers"
},
{
"date": "2024/05/01",
"position": 11,
"query": "AI employers"
},
{
"date": "2024/07/01",
"position": 59,
"query": "artificial intelligence employers"
},
{
"date": "2024/08/01",
"position": 61,
"query": "artificial intelligence employers"
},
{
"date": "2024/09/01",
"position": 10,
"query": "AI employers"
},
{
"date": "2024/10/01",
"position": 11,
"query": "AI employers"
},
{
"date": "2024/11/01",
"position": 11,
"query": "AI employers"
},
{
"date": "2024/11/01",
"position": 60,
"query": "artificial intelligence employers"
},
{
"date": "2024/12/01",
"position": 11,
"query": "AI employers"
},
{
"date": "2024/12/01",
"position": 55,
"query": "artificial intelligence employers"
},
{
"date": "2025/01/01",
"position": 10,
"query": "AI employers"
},
{
"date": "2025/03/01",
"position": 61,
"query": "artificial intelligence employers"
},
{
"date": "2025/04/01",
"position": 7,
"query": "AI employers"
},
{
"date": "2025/04/01",
"position": 58,
"query": "artificial intelligence employers"
}
] |
|
Scale AI: Accelerate the Development of AI Applications
|
Accelerate the Development of AI Applications
|
https://scale.com
|
[] |
Breakthrough AI from Data to Deployment. Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500.
|
Enterprise GenAI Platform The only full-stack GenAI Platform for your Enterprise, powered by the Scale Data Engine.
Fine-Tuning and RLHF Adapt best-in-class foundation models to your business and your specific data to build sustainable, successful AI programs and data from your enterprise.
Foundation Models Scale partners or integrates with all of the leading AI models, from open-source to closed-source, including OpenAI, Google, Meta, Cohere, and more.
| 2022-12-01T00:00:00 |
https://scale.com/
|
[
{
"date": "2022/12/01",
"position": 15,
"query": "AI employers"
},
{
"date": "2023/01/01",
"position": 17,
"query": "AI employers"
},
{
"date": "2023/02/01",
"position": 17,
"query": "AI employers"
},
{
"date": "2023/07/01",
"position": 23,
"query": "AI employers"
},
{
"date": "2023/08/01",
"position": 15,
"query": "AI employers"
},
{
"date": "2023/09/01",
"position": 17,
"query": "AI employers"
},
{
"date": "2023/10/01",
"position": 16,
"query": "AI employers"
},
{
"date": "2024/05/01",
"position": 17,
"query": "AI employers"
},
{
"date": "2024/09/01",
"position": 15,
"query": "AI employers"
},
{
"date": "2024/10/01",
"position": 17,
"query": "AI employers"
},
{
"date": "2024/11/01",
"position": 16,
"query": "AI employers"
},
{
"date": "2024/12/01",
"position": 16,
"query": "AI employers"
},
{
"date": "2025/01/01",
"position": 16,
"query": "AI employers"
},
{
"date": "2025/04/01",
"position": 27,
"query": "AI employers"
}
] |
|
Top NYC, NY AI Companies 2025 | Built In
|
Top NYC, NY AI Companies 2025
|
https://www.builtinnyc.com
|
[] |
Top NYC, NY AI Companies (603) · FloQast · Hinge · Kensho Technologies · Rokt · KUBRA · Genius Sports · Qualtrics · Inato. Artificial Intelligence • Greentech • ...
|
Artificial Intelligence • Machine Learning • Mobile • Other • Social Impact • Software • App development
New York, New York, USA 305 Employees
In today’s digital world, singles are so focused on sending likes and looking through profiles that they’re not actually building meaningful connections and going on dates. Hinge is on a mission to change that by designing the most effective app experience. We want to create a less lonely world by inspiring intimate, in-person connections. Relationships are at the core of everything we do. And not just the romantic kind. We can't accomplish really hard things alone - so we make great relationships the foundation of our teamwork. We believe these three core values are what it takes to build those great relationships: Authenticity, we share - never hide - our words, actions, and intentions. Courage, breakthroughs require a willingness to take risks and embrace lofty goals and tough challenges. Empathy, we're all humans first. So we deeply consider the perspectives of others, listen openly, and speak with care.
| 2022-12-01T00:00:00 |
https://www.builtinnyc.com/companies/type/artificial-intelligence-companies
|
[
{
"date": "2022/12/01",
"position": 18,
"query": "AI employers"
},
{
"date": "2023/01/01",
"position": 9,
"query": "AI employers"
},
{
"date": "2023/02/01",
"position": 10,
"query": "AI employers"
},
{
"date": "2023/05/01",
"position": 42,
"query": "artificial intelligence employers"
},
{
"date": "2023/07/01",
"position": 11,
"query": "AI employers"
},
{
"date": "2023/08/01",
"position": 9,
"query": "AI employers"
},
{
"date": "2023/08/01",
"position": 41,
"query": "artificial intelligence employers"
},
{
"date": "2023/09/01",
"position": 10,
"query": "AI employers"
},
{
"date": "2023/10/01",
"position": 9,
"query": "AI employers"
},
{
"date": "2023/12/01",
"position": 49,
"query": "artificial intelligence employers"
},
{
"date": "2024/03/01",
"position": 82,
"query": "artificial intelligence employers"
},
{
"date": "2024/04/01",
"position": 11,
"query": "AI employers"
},
{
"date": "2024/05/01",
"position": 10,
"query": "AI employers"
},
{
"date": "2024/07/01",
"position": 68,
"query": "artificial intelligence employers"
},
{
"date": "2024/08/01",
"position": 2,
"query": "artificial intelligence employers"
},
{
"date": "2024/09/01",
"position": 8,
"query": "AI employers"
},
{
"date": "2024/10/01",
"position": 10,
"query": "AI employers"
},
{
"date": "2024/11/01",
"position": 10,
"query": "AI employers"
},
{
"date": "2024/11/01",
"position": 55,
"query": "artificial intelligence employers"
},
{
"date": "2024/12/01",
"position": 10,
"query": "AI employers"
},
{
"date": "2024/12/01",
"position": 49,
"query": "artificial intelligence employers"
},
{
"date": "2025/01/01",
"position": 7,
"query": "AI employers"
},
{
"date": "2025/03/01",
"position": 37,
"query": "artificial intelligence employers"
},
{
"date": "2025/04/01",
"position": 9,
"query": "AI employers"
},
{
"date": "2025/04/01",
"position": 37,
"query": "artificial intelligence employers"
}
] |
|
Top Los Angeles, CA AI Companies 2025 | Built In
|
Top Los Angeles, CA AI Companies 2025
|
https://www.builtinla.com
|
[] |
Top Los Angeles, CA AI Companies (214) · John Deere · PwC · Anduril · FloQast · True Anomaly · Dropbox · ServiceNow · GrayMatter Robotics. Artificial ...
|
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
13 Offices 4,600 Employees
The space enterprise has been transformed by rapid change and growth. New vehicles for national security space, a more rapid launch cadence, proliferated satellite constellations, the pursuit of interplanetary exploration, and thriving commercial ventures are changing the nature of the space industry. The Aerospace Corporation (Aerospace) is a leading architect for U.S. space programs, shaping efforts to outpace threats to our national security while cultivating the technologies needed to further this new era of space commercialization and exploration. Aerospace works across the space enterprise in service of the public interest. In addition to supporting the Department of Defense and the Intelligence Community, our customers include NASA, NOAA, numerous federal agencies, and commercial space — all of whom benefit from our deep technical knowledge. We only pursue business related to the space mission and complementary fields, operating as the nation’s trusted partner to solve the toughest challenges and develop reliable and innovative technologies. Innovation in space occurs when people have the freedom to imagine and do. At Aerospace, we take pride in our readiness to solve some of the most complex challenges in the space enterprise.
| 2022-12-01T00:00:00 |
https://www.builtinla.com/companies/type/artificial-intelligence-companies
|
[
{
"date": "2022/12/01",
"position": 19,
"query": "AI employers"
},
{
"date": "2023/01/01",
"position": 8,
"query": "AI employers"
},
{
"date": "2023/02/01",
"position": 8,
"query": "AI employers"
},
{
"date": "2023/04/01",
"position": 7,
"query": "AI employers"
},
{
"date": "2023/05/01",
"position": 55,
"query": "artificial intelligence employers"
},
{
"date": "2023/06/01",
"position": 56,
"query": "artificial intelligence employers"
},
{
"date": "2023/07/01",
"position": 9,
"query": "AI employers"
},
{
"date": "2023/08/01",
"position": 7,
"query": "AI employers"
},
{
"date": "2023/09/01",
"position": 8,
"query": "AI employers"
},
{
"date": "2023/09/01",
"position": 43,
"query": "artificial intelligence employers"
},
{
"date": "2023/10/01",
"position": 8,
"query": "AI employers"
},
{
"date": "2023/10/01",
"position": 56,
"query": "artificial intelligence employers"
},
{
"date": "2023/11/01",
"position": 8,
"query": "AI employers"
},
{
"date": "2023/12/01",
"position": 9,
"query": "artificial intelligence employers"
},
{
"date": "2024/02/01",
"position": 7,
"query": "AI employers"
},
{
"date": "2024/03/01",
"position": 59,
"query": "artificial intelligence employers"
},
{
"date": "2024/04/01",
"position": 8,
"query": "AI employers"
},
{
"date": "2024/05/01",
"position": 8,
"query": "AI employers"
},
{
"date": "2024/07/01",
"position": 54,
"query": "artificial intelligence employers"
},
{
"date": "2024/08/01",
"position": 55,
"query": "artificial intelligence employers"
},
{
"date": "2024/09/01",
"position": 7,
"query": "AI employers"
},
{
"date": "2024/10/01",
"position": 8,
"query": "AI employers"
},
{
"date": "2024/11/01",
"position": 8,
"query": "AI employers"
},
{
"date": "2024/11/01",
"position": 1,
"query": "artificial intelligence employers"
},
{
"date": "2024/12/01",
"position": 8,
"query": "AI employers"
},
{
"date": "2024/12/01",
"position": 57,
"query": "artificial intelligence employers"
},
{
"date": "2025/01/01",
"position": 6,
"query": "AI employers"
},
{
"date": "2025/03/01",
"position": 58,
"query": "artificial intelligence employers"
},
{
"date": "2025/04/01",
"position": 11,
"query": "AI employers"
},
{
"date": "2025/04/01",
"position": 41,
"query": "artificial intelligence employers"
}
] |
|
Eightfold Talent Intelligence - AI platform for all talent
|
Eightfold Talent Intelligence
|
https://eightfold.ai
|
[] |
Eightfold AI helps organizations recruit talent efficiently, retain top talent, and upskill/reskill their entire workforce. Eightfold is available in more than ...
|
What every leader needs to know about responsible AI
Responsible AI is more than a compliance checkbox. It’s a strategic imperative for building trust, driving innovation, and shaping the future of work.
Why responsible AI is your competitive advantage →
| 2022-12-01T00:00:00 |
https://eightfold.ai/
|
[
{
"date": "2022/12/01",
"position": 27,
"query": "AI employers"
},
{
"date": "2022/12/01",
"position": 66,
"query": "AI employment"
},
{
"date": "2023/01/01",
"position": 23,
"query": "AI employers"
},
{
"date": "2023/01/01",
"position": 21,
"query": "AI hiring"
},
{
"date": "2023/01/01",
"position": 93,
"query": "AI employment"
},
{
"date": "2023/02/01",
"position": 27,
"query": "AI employers"
},
{
"date": "2023/02/01",
"position": 18,
"query": "AI hiring"
},
{
"date": "2023/02/01",
"position": 59,
"query": "AI employment"
},
{
"date": "2023/03/01",
"position": 34,
"query": "AI hiring"
},
{
"date": "2023/04/01",
"position": 53,
"query": "AI employment"
},
{
"date": "2023/05/01",
"position": 53,
"query": "AI employment"
},
{
"date": "2023/06/01",
"position": 54,
"query": "AI employment"
},
{
"date": "2023/07/01",
"position": 38,
"query": "AI employers"
},
{
"date": "2023/08/01",
"position": 27,
"query": "AI employers"
},
{
"date": "2023/08/01",
"position": 51,
"query": "AI employment"
},
{
"date": "2023/08/01",
"position": 15,
"query": "AI hiring"
},
{
"date": "2023/09/01",
"position": 23,
"query": "AI employers"
},
{
"date": "2023/09/01",
"position": 17,
"query": "AI hiring"
},
{
"date": "2023/10/01",
"position": 23,
"query": "AI employers"
},
{
"date": "2023/11/01",
"position": 55,
"query": "AI employment"
},
{
"date": "2023/12/01",
"position": 56,
"query": "AI employment"
},
{
"date": "2023/12/01",
"position": 18,
"query": "AI hiring"
},
{
"date": "2024/01/01",
"position": 52,
"query": "AI employment"
},
{
"date": "2024/01/01",
"position": 15,
"query": "AI hiring"
},
{
"date": "2024/02/01",
"position": 66,
"query": "AI employment"
},
{
"date": "2024/04/01",
"position": 52,
"query": "AI employers"
},
{
"date": "2024/05/01",
"position": 23,
"query": "AI employers"
},
{
"date": "2024/06/01",
"position": 56,
"query": "AI employment"
},
{
"date": "2024/06/01",
"position": 18,
"query": "AI hiring"
},
{
"date": "2024/07/01",
"position": 55,
"query": "AI employment"
},
{
"date": "2024/09/01",
"position": 22,
"query": "AI employers"
},
{
"date": "2024/10/01",
"position": 26,
"query": "AI employers"
},
{
"date": "2024/10/01",
"position": 19,
"query": "AI hiring"
},
{
"date": "2024/11/01",
"position": 27,
"query": "AI employers"
},
{
"date": "2024/11/01",
"position": 55,
"query": "AI employment"
},
{
"date": "2024/12/01",
"position": 27,
"query": "AI employers"
},
{
"date": "2025/01/01",
"position": 23,
"query": "AI employers"
},
{
"date": "2025/01/01",
"position": 81,
"query": "AI employment"
},
{
"date": "2025/01/01",
"position": 15,
"query": "AI hiring"
},
{
"date": "2025/02/01",
"position": 63,
"query": "AI employment"
},
{
"date": "2025/03/01",
"position": 59,
"query": "AI employment"
},
{
"date": "2025/04/01",
"position": 19,
"query": "AI employers"
},
{
"date": "2025/05/01",
"position": 58,
"query": "AI employment"
},
{
"date": "2025/06/01",
"position": 56,
"query": "AI employment"
},
{
"date": "2025/06/01",
"position": 89,
"query": "artificial intelligence hiring"
}
] |
|
It's Time for Your Company to Invest in AI. Here's How.
|
It’s Time for Your Company to Invest in AI. Here’s How.
|
https://hbr.org
|
[
"Deborah Perry Piscione"
] |
... Workplace report reveals that 88% of SMB employers and 71% of employees are currently using AI in the workplace. The organizations seeing ...
|
is a Silicon Valley serial entrepreneur, innovation and future-of-business thought leader, and cofounder of the Work3 Institute, an AI and web3 advisory firm. She is the author of multiple books, including the New York Times bestseller, Secrets of Silicon Valley . Her latest book (with coauthor Josh Drean) is Employment Is Dead: How Disruptive Technologies Are Revolutionizing the Way We Work . She is a LinkedIn Learning instructor on the topics of risk-taking and innovation. She was previously a staffer in the US Congress and at the White House, and she served as an on-air commentator on CNN, MSNBC, and Fox News.
| 2025-07-02T00:00:00 |
2025/07/02
|
https://hbr.org/2025/07/its-time-for-your-company-to-invest-in-ai-heres-how
|
[
{
"date": "2022/12/01",
"position": 28,
"query": "AI employers"
},
{
"date": "2023/07/01",
"position": 43,
"query": "AI employers"
},
{
"date": "2023/08/01",
"position": 29,
"query": "AI employers"
},
{
"date": "2023/09/01",
"position": 25,
"query": "AI employers"
},
{
"date": "2023/10/01",
"position": 24,
"query": "AI employers"
},
{
"date": "2024/05/01",
"position": 24,
"query": "AI employers"
},
{
"date": "2024/09/01",
"position": 23,
"query": "AI employers"
},
{
"date": "2024/10/01",
"position": 27,
"query": "AI employers"
},
{
"date": "2024/11/01",
"position": 29,
"query": "AI employers"
},
{
"date": "2024/12/01",
"position": 28,
"query": "AI employers"
},
{
"date": "2025/01/01",
"position": 24,
"query": "AI employers"
}
] |
College grad unemployment surges as employers replace new hires ...
|
The heart of the internet
|
https://www.reddit.com
|
[] |
AI isn't replacing any job that requires thought, and anybody that says otherwise either doesn't understand LLMs or is just setting up their ...
|
Subreddit dedicated to the news and discussions about the creation and use of technology and its surrounding issues.
Members Online
| 2022-12-01T00:00:00 |
https://www.reddit.com/r/technology/comments/1lswnus/college_grad_unemployment_surges_as_employers/
|
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"date": "2022/12/01",
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"query": "AI employers"
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{
"date": "2025/01/01",
"position": 32,
"query": "AI employers"
}
] |
|
Cohere: The Secure AI Platform for Enterprise
|
The Secure AI Platform for Enterprise
|
https://cohere.com
|
[] |
Cohere brings you cutting-edge multilingual models, advanced retrieval, and an AI workspace tailored for the modern enterprise — all within a single, secure ...
|
AI moves fast
We’ll keep you up to date with the latest.
| 2022-12-01T00:00:00 |
https://cohere.com/
|
[
{
"date": "2022/12/01",
"position": 34,
"query": "AI employers"
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{
"date": "2023/01/01",
"position": 33,
"query": "AI employers"
},
{
"date": "2023/02/01",
"position": 33,
"query": "AI employers"
}
] |
|
Company - C3 AI
|
Company
|
https://c3.ai
|
[] |
C3 AI software is used by some of the world's largest organizations — including Shell, Bank of America, the U.S. Air Force, Koch Industries, ENGIE, and others — ...
|
The Evolution of C3 AI
C3 AI was well ahead of its time in predicting the scale of the opportunity in enterprise AI. We began when the market was nascent, and as the market developed and expanded, we expanded our branding and our market offerings to meet market expectations and better serve our customers.
Learn more
| 2022-12-01T00:00:00 |
https://c3.ai/company/
|
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{
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|
Revealing Top Employers For AI Engineers - Executive Levels
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Revealing Top Employers for AI Engineers
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https://www.executivelevels.com
|
[] |
Companies like Google, Amazon, Microsoft, Apple, and Meta aren't just the playground of the tech elite, they're also hotspots for AI engineers like you.
|
Post Views: 428
Companies like Google, Amazon, Microsoft, Apple, and Meta aren’t just the playground of the tech elite, they’re also hotspots for AI engineers like you. What makes them the top employers for AI engineers? Are there common threads in their culture?
The search to find leading employers becomes essential to engineers, uncovering ways to work with cutting-edge projects and interesting career growth. As the demand for skilled AI engineers escalates, discerning professionals seek out tech giants like Google, Microsoft, Amazon, Intel, and Apple, where innovation converges with the opportunity to redefine the future of artificial intelligence.
Understanding AI Engineering Career Prospects
The career prospects for AI Engineers are exceptionally bright, with significant growth anticipated in the coming years. According to the Bureau of Labor Statistics, the career growth for Artificial Intelligence engineers is expected to be at least 31.4% by 2030 for those with little experience to seasoned engineers especially those with a niche.
This growth is driven by the increasing adoption of AI technologies across various industries, including healthcare, finance, e-commerce, and entertainment. The demand for AI research scientists is also on the rise, with an expected growth of 19% by 2023, while robotics engineers are projected to see a growth of 9%. LinkedIn reports that Machine Learning engineering roles have surged by 74% annually over the past five years, highlighting the popularity of this career path within the AI sector.
There is a projected job growth of 23 percent for AI engineers between 2022 and 2032, which is much faster than the average for all occupations.
In terms of salary, AI engineers can expect competitive compensation. The average salary for an AI engineer in 2023 is around $113,000 base, with the potential to increase significantly with experience and expertise. For instance, Glassdoor reports that AI engineers with 2 to 4 years of experience earn an average of $106,894 base, while those with 5 to 7 years can make around $150,00+ base depending on location.
Those in leadership roles or with over 8 years of experience, such as Vice Presidents of Machine Learning, can command salaries upwards of $172,715+ base. The salaries can vary based on factors such as location, industry, and the individual’s skill set. With AI contributing up to $15.7 trillion to the global economy by 2030, the financial incentives for pursuing a career in AI engineering are substantial.
Cultural Similarities Among the Larger AI Environments
If you have worked for a smaller company or haven’t worked for one of the biggies, then can be quite the culture shock. The hours and expectations can be quite different from those in a smaller environment so balancing your work life will take some getting used to.
Below are some crossover culture environments:
Priority on Breakthroughs: These organizations champion the pursuit of breakthrough innovations, constantly seeking to push the boundaries of technology, particularly in artificial intelligence. Analytical Decision-Making: They rely heavily on analytical insights for guiding strategic choices, using robust data analysis to inform their paths forward. Flexibility in Development: Adopting flexible and responsive development practices allows them to stay at the forefront of technological change, adapting quickly to new opportunities. Commitment to Employee Growth: There’s a strong commitment to the professional growth and upskilling of their workforce, ensuring employees are well-equipped to tackle the challenges of tomorrow. Unified Team Dynamics: These companies emphasize a culture of unity and collaboration, fostering environments where cross-disciplinary teams work together seamlessly. Freedom and Responsibility: They strike a balance between granting employees freedom in their roles and holding them accountable for outcomes, encouraging a sense of ownership and initiative but you must deliver. Inclusive Culture: A genuine commitment to creating diverse and inclusive workspaces is key, recognizing the value of diverse perspectives in driving innovation. Focus on the End User: Keeping the end user at the heart of their operations, they strive to understand and anticipate customer needs, often using AI to tailor experiences. Embrace of Experimentation: Cultivating an environment where taking calculated risks and learning from setbacks is encouraged, fostering a culture of experimentation and discovery. Ethics and Sustainability: They integrate considerations of ethics and sustainability into their operations, particularly in the development and deployment of AI technologies, ensuring their innovations are used responsibly. Long interview Process: Big tech companies often have lengthy interview processes (the average is a month or so) to meticulously evaluate candidates’ technical skills, problem-solving abilities, and cultural fit, ensuring they hire individuals who can thrive in a fast-paced and innovative environment.
These elements reflect a blend of innovation, responsibility, and continuous improvement that characterizes the culture of leading tech companies, especially those deeply involved in developing and applying artificial intelligence.
20 Top Employers for AI Engineers
Having explored the broad prospects of an AI engineering career, let’s now turn our focus to the top tech giants that are actively hiring AI engineers and making significant strides in the AI industry. Your freedom to innovate, collaborate, and make a significant impact is amplified at these companies.
Please note these are companies that hire the most AI engineers not specifically based on salary. (may change based on the economy)
Rank Company Name Industry Notable AI Focus Areas 1 Google (Alphabet Inc.) Technology, Internet Services Search algorithms, autonomous driving, AI research 2 Microsoft Technology, Cloud Computing Cloud AI services, AI research, business AI solutions 3 Amazon E-commerce, Cloud Computing Cloud AI services, robotics, personal assistants 4 Facebook (Meta Platforms) Social Media, Technology AI for content moderation, virtual reality 5 Apple Technology, Consumer Electronics Siri, autonomous systems, AI chips 6 IBM Technology, Cloud Computing AI in healthcare, Watson AI services 7 NVIDIA Semiconductors, Technology AI computing, autonomous vehicles, gaming 8 Tesla Automotive, Energy Autonomous driving, AI in manufacturing 9 Intel Semiconductors, Technology AI chip technology, autonomous driving tech 10 Salesforce Cloud Computing, Software AI for CRM, business analytics 11 Uber Technologies Transportation, Technology Autonomous driving, AI for logistics 12 LinkedIn Social Media, Technology AI for job matching, content delivery 13 Palantir Technologies Software, Data Analysis AI for data analysis, government and finance solutions 14 Adobe Systems Software, Digital Media AI in creative software, marketing analytics 15 Oracle Technology, Cloud Computing AI in database management, cloud services 16 SpaceX Aerospace, Manufacturing AI for spacecraft automation and navigation 17 Qualcomm Semiconductors, Technology AI chip technology, 5G technology 18 Airbnb Technology, Hospitality AI for personalization, pricing optimization 19 General Electric Conglomerate, Technology AI in industrial IoT, healthcare technology 20 Waymo (Alphabet Inc.) Autonomous Driving Technology Autonomous driving technologies
Benefits of Working With Leading AI Companies
When you join leading AI companies, you’re not just signing up for a job, but stepping into a world of competitive salaries, diverse work environments, and opportunities to work with cutting-edge technologies. AI Companies Hiring are seeking professionals eager to make their mark in the rapidly evolving tech industry.
Working with leading AI technology companies, you’ll be part of a global network of experts and innovators headquartered in prominent tech hubs. You could be one of over 100,000 employees worldwide, all contributing to the growth and development of AI technology.
One of the benefits of working with these tech giants is exposure to innovative projects. Your work could shape the future of AI, giving you an unrivaled professional experience.
Here’s a quick glimpse at what awaits you:
Benefits Details Competitive Salaries Ranging from $70,000 to $250,000+ base (avg.) Diverse Work Environment Opportunities for growth and development in different areas of AI Cutting-edge Technology Exposure to innovative AI projects that set market standards
Skills Desired by Top AI Employers
Beyond the appealing benefits of working in top AI companies, it’s vital to understand the specific skills these industry leaders are seeking in their prospective AI engineers. Your ability to meet these expectations can pave the way to your dream job.
The top three skills desired by AI employers include:
Proficiency in Programming Languages: Python is the top preference due to its simplicity and versatility. Also, proficiency in R, Java, and C++ can set you apart from other candidates. Expertise in Machine Learning: As AI continues to evolve, so does the importance of machine learning. It’s essential to have a solid understanding of machine learning, deep learning, and neural networks. A Strong Foundation in Computer Science: A solid ground in computer science, coupled with a good understanding of mathematics and statistics, is crucial. This combination equips you with the ability to design and implement complex AI systems effectively. Proficiency in Visualization Tools: Utilizing data visualization tools is a must as they serve as indispensable aids in extracting meaningful insights from data.
Knowledge of large data tools like Hadoop and Spark is valued. Just as important are your problem-solving and communication skills. They’re invaluable in translating complex data into actionable insights.
Navigating AI Job Interviews Successfully
Your ticket to acing an AI job interview lies in your ability to understand the company’s AI projects, articulate your technical proficiency, and demonstrate your adaptability to the company’s culture and values. As AI engineers, you must research the organization’s AI development initiatives, aligning them with your expertise. Show that you’re not just a code-cruncher; highlight your problem-solving skills, teamwork abilities, and communication strengths.
Demonstrate your proficiency in programming languages, machine learning, and data analysis. Your knowledge in designing AI algorithms and developing AI software is your power card; don’t hesitate to play it. Remember, you’re not just selling your skills, you’re selling your potential to add value.
Don’t underestimate the importance of cultural fit. Understand the company’s values and commitment to AI development. Prepare to discuss your experience in working with multidisciplinary teams, showcasing your adaptability and collaborative spirit. Job interviews can be nerve-wracking, but with proper preparation and the right attitude, you’ll navigate them successfully.
Common Questions
Which Company Pays Highest Salary for AI Engineer?
Uber, Walmart Labs and Netflix we found pays the highest salary for AI engineers, but it’s crucial you have a VERY strong AI engineer’s skillset and you stand out. Salary negotiation strategies and career progression in AI can also influence your income, so keep developing.
Are these AI Companies Hiring Remote?
Many companies are trying to close the gap of working remote with more in office work or opting for a hybrid model.
What Is the Highest Paid Job in AI?
The highest paid job in AI is typically a Chief AI Officer or Chief Data Scientist role. You’ll need extensive AI, data science expertise, and leadership skills. Education for AI jobs and AI specialization salaries are high.
Are AI Engineers in High Demand?
Yes, you’re in high demand as an AI engineer. Due to AI skill shortage and the rapid AI job growth, companies are seeking your expertise. It’s a thrilling time to be part of this evolving AI industry trend.
Which Company Is Best for AI?
You’re seeking AI innovation leaders. Consider Intel, NVIDIA, Cisco, IBM, or Apple. Each offers a vibrant company culture and diverse AI project opportunities that will stimulate your creativity and advance your technical skills.
The tech giants like Google, Microsoft, Amazon, Apple, and Meta can be your launch pad.
They’re not just seeking AI pros, but nurturing them too, investing in advanced AI technologies. Having the right skills and acing those interviews can set you up for an exciting career with them.
Remember, it’s not just a job, but an opportunity to shape the future of tech.
| 2024-02-15T00:00:00 |
2024/02/15
|
https://www.executivelevels.com/top-employers-for-ai-engineers/
|
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AI (Artificial Intelligence) Startups funded by Y Combinator (YC) 2025
|
AI (Artificial Intelligence) Startups funded by Y Combinator (YC) 2025
|
https://www.ycombinator.com
|
[] |
Businesses can call and text customers from the web and/or mobile app, send payment links, drive repeat business through bulk messages, and more—all managed and ...
|
Sully.ai Y Combinator Logo S2021
•
Active
•
12 employees
•
San Francisco, CA, USA
Purpose Building superhuman AI Employees to make healthcare better, cheaper, and faster. Team. Sully.ai is built by repeat founders with 5 exits + 2 IPOs from Google, NASA, and CVSHealth: Omar, CEO: Started selling at age 11 and is an MMA Fighter with 3 gold🥇medals. Nasser, President & COO: Co-founded and built Odiggo growth 0-$14m in < 2 years. Chaitanya, CTO: PhD. in Robotics, 15 years at Google with over 25 patents. Henry, CEngO: Founder with successful exits to NASA (DiagnosisAI) and an IPO ($KASH). Michael, Founding Engineer, Neurobiologist turned engineer, Exit to CruiseAI. Dr. Neesheet, Chief Medical Officer: Chief Medical Officer of USA Cricket & Instructor at Yale. Baris, VP, Growth: Led growth at SWVL as their VP of Growth to a $1.5B 🦄IPO. Investors Raised $25M (Amity Ventures, Y -Combinator, SemperVirens & Eric Yuan (Zoom Founder). Problem Because the highest cost in healthcare organizations is salaries ($800B a year in the US). Solution This is why we built AI Medical Employees to do the same tasks 20x cheaper & 10x faster. Why now It's the first time in history that tech allows building employees, not just tools for employees. Opportunity Replacing 10% of the $800B/year of staff costs at 20x cheaper is a $5B ARR opportunity. Competition AI is a new market; we hear competitor names like HippocraticAI in <2% of our demos. Product Our AI Medical Employees are 20x cheaper, 10x faster, and integrate and use healthcare tools. Roadmap AI Receptionist ✔️ AI Interpreter ✔️ AI Scribe ✔️ AI Medical Assistant ✔️ AI Nurse → etc. Business Model We charge healthcare organizations a “payroll” for AI Employees starting at $1200/employee. Traction 300+ Healthcare Organizations hired Sully.ai employees–from $0 to $2M in 12 months. Efficiency Sully.ai team spent $3m to hit ~$2M ARR with just 10 people. Customers Love ❤️ Watch healthcare organizations' WOW reactions to Sully.ai in demos and after pilot feedback. Ideal Customer Profile CMIO’s at healthcare organizations with 100+ employees (Currently serving 20+ specialties).
| 2022-12-01T00:00:00 |
https://www.ycombinator.com/companies/industry/ai
|
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|
List of artificial intelligence companies - Wikipedia
|
List of artificial intelligence companies
|
https://en.wikipedia.org
|
[] |
Below is a list of notable companies that primarily focuses on artificial intelligence (AI). Companies that simply makes use of AI but have a different primary ...
|
Below is a list of notable companies that primarily focuses on artificial intelligence (AI). Companies that simply makes use of AI but have a different primary focus are not included.[1][2]
America [ edit ]
Canada [ edit ]
United States [ edit ]
Asia [ edit ]
China [ edit ]
Hong Kong [ edit ]
Israel [ edit ]
UAE [ edit ]
Europe [ edit ]
France [ edit ]
Germany [ edit ]
Switzerland [ edit ]
Ukraine [ edit ]
United Kingdom [ edit ]
See also [ edit ]
| 2022-12-01T00:00:00 |
https://en.wikipedia.org/wiki/List_of_artificial_intelligence_companies
|
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{
"date": "2025/03/01",
"position": 13,
"query": "artificial intelligence employers"
},
{
"date": "2025/04/01",
"position": 54,
"query": "AI employers"
},
{
"date": "2025/04/01",
"position": 7,
"query": "artificial intelligence employers"
}
] |
|
2025 AI Business Predictions - PwC
|
2025 AI Business Predictions
|
https://www.pwc.com
|
[] |
In 2025, AI agents will start to reshape demand for software platforms, as companies use them to fill the gaps of existing systems, such as ERPs. With AI agents ...
|
If we would make one prediction to sum up all the rest, it would be this: Your company’s AI success will be as much about vision as adoption. That means that your AI choices may be the most crucial decisions not just this year but of your career. It’s now clear that AI can deliver value at scale — and we’re just getting started. Nearly half (49%) of technology leaders in PwC’s October 2024 Pulse Survey said that AI was “fully integrated” into their companies’ core business strategy. A third said AI was fully integrated into products and services.
Making AI intrinsic to the organization is vital, because making “big leaps” (such as new business models) is only one source of game-changing AI value. The other is the cumulative result of incremental value at scale: 20% to 30% gains in productivity, speed to market and revenue, first in one area, then another — until the company is transformed.
To help navigate this transformation, we offer a set of predictions covering the most important areas that demand your attention. These are based on real-world experience in helping our clients reinvent their business with AI, the transformation of our own firm with AI and PwC’s strategic alliances with leading tech companies in the AI ecosystem.
There are pockets of hype around AI. Not every promise will pan out. But AI’s pace of innovation, investment and business buy-in are unprecedented. Even the internet (invented in 1983) didn’t move so fast. Our predictions are designed to indicate what to expect in the next 12 months, what may come after that and what to do right now.
| 2022-12-01T00:00:00 |
https://www.pwc.com/us/en/tech-effect/ai-analytics/ai-predictions.html
|
[
{
"date": "2022/12/01",
"position": 51,
"query": "AI employers"
},
{
"date": "2023/01/01",
"position": 51,
"query": "AI employers"
},
{
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"position": 48,
"query": "AI employers"
},
{
"date": "2025/04/01",
"position": 40,
"query": "AI employers"
}
] |
|
AI Jobs - The Leading Job Board for AI, ML & Data Science
|
The Leading Job Board for AI, ML & Data Science
|
https://aijobs.ai
|
[] |
The Number One Job Board for Careers in Artificial Intelligence. Find the perfect job at a top AI company, or in AI adjacent fields like Data Science and ...
|
Find the perfect job at a top AI company, or in AI adjacent fields like Data Science and Machine Learning.
Post a Job to find the best candidates from our 30,000 monthly visitors.
| 2022-12-01T00:00:00 |
https://aijobs.ai/
|
[
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},
{
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{
"date": "2023/01/11",
"position": 15,
"query": "generative AI jobs"
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{
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{
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},
{
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},
{
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{
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{
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"query": "artificial intelligence employers"
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{
"date": "2023/08/01",
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"query": "AI employment"
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{
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{
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{
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{
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"query": "AI employment"
},
{
"date": "2023/12/01",
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"query": "AI employment"
},
{
"date": "2024/01/01",
"position": 41,
"query": "AI employment"
},
{
"date": "2024/02/01",
"position": 15,
"query": "AI employment"
},
{
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"query": "artificial intelligence employers"
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{
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{
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},
{
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{
"date": "2024/07/01",
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"query": "artificial intelligence employers"
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{
"date": "2024/11/01",
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},
{
"date": "2024/12/01",
"position": 20,
"query": "artificial intelligence employers"
},
{
"date": "2025/01/01",
"position": 12,
"query": "AI employment"
},
{
"date": "2025/01/01",
"position": 36,
"query": "AI hiring"
},
{
"date": "2025/02/01",
"position": 29,
"query": "AI employment"
},
{
"date": "2025/03/01",
"position": 28,
"query": "AI employment"
},
{
"date": "2025/05/01",
"position": 30,
"query": "AI employment"
},
{
"date": "2025/06/01",
"position": 27,
"query": "AI employment"
}
] |
|
AI Index | Stanford HAI
|
Stanford HAI
|
https://hai.stanford.edu
|
[
"Nestor Maslej"
] |
... artificial intelligence. Recognized as a trusted resource by global media, governments, and leading companies, the AI Index equips policymakers, business ...
|
The AI Index is recognized globally as one of the most credible and authoritative sources for data and insights on artificial intelligence.
Previous editions have been cited in major newspapers, including the The New York Times, Bloomberg, and The Guardian, have amassed hundreds of academic citations, and been referenced by high-level policymakers in the United States, the United Kingdom, and the European Union, among other places. This year’s edition surpasses all previous ones in size, scale, and scope, reflecting the growing significance that AI is coming to hold in all of our lives.
| 2022-12-01T00:00:00 |
https://hai.stanford.edu/ai-index
|
[
{
"date": "2022/12/01",
"position": 54,
"query": "AI employers"
},
{
"date": "2023/01/01",
"position": 54,
"query": "AI employers"
},
{
"date": "2023/02/01",
"position": 54,
"query": "AI employers"
},
{
"date": "2023/08/01",
"position": 53,
"query": "AI employers"
},
{
"date": "2024/11/01",
"position": 56,
"query": "AI employers"
},
{
"date": "2024/12/01",
"position": 55,
"query": "AI employers"
},
{
"date": "2025/04/01",
"position": 51,
"query": "AI employers"
}
] |
|
Making Sense of The Different Types of AI Companies | by Justin Gage
|
Making Sense of The Different Types of AI Companies
|
https://startupsventurecapital.com
|
[
"Justin Gage"
] |
There are three types of AI companies — core, application, and industry · 1. Core AI Companies · 2. Application AI Companies · 3. Industry AI Companies · 5 Life ...
|
There are three types of AI companies — core, application, and industry
1. Core AI Companies
Core AI companies develop technology that improves parts of the AI creation or deployment process itself. Here are a few selected parts of that process and a few companies that are innovating in each:
Data scrubbing and cleaning: Trifacta, Paxata, Wealthport, Datalogue
Modeling: Sentient, Petuum, MLJar
Deployment: Yhat, Seldon
These companies all innovate in some specific, industry-agnostic part of the AI pipeline. Some of them are specific tools, while others purport to have an entirely new approach to AI that will revolutionize how it’s done (see Geometric Intelligence circa 2015). If you’re investing in Core AI companies, you should probably have a good understanding of how this pipeline works. If you’re founding one of these companies, you should probably have experience deploying Machine Learning and AI at scale.
2. Application AI Companies
A bit on the more specific side, Application AI startups develop technology that helps companies across different industries perform a specific task using AI. As with the above, here are some examples of those applications and a few interesting companies in each:
Analyzing and understanding text: Indico, Synapsify, Lexalytics
Analyzing and understanding images and videos: Clarifai, Kairos, Imagry, Affectiva, Deepomatic
Bots / Voice: Init.ai, MindMeld
While investors can get away with not having experience in one of these specific applications, founders will likely have done projects involving this stuff in the past.
3. Industry AI Companies
The final category of ML/AI companies apply these techniques to specific business problems in specific verticals. This is undoubtedly the lion’s share of the actual number of companies being founded, and in many ways represents the true promise of AI — solving actual and immediate problems with new techniques. Here, it’s easier to give companies as examples. The format is always “AI for ________”:
DigitalGenius: AI for customer support
Cylance: AI for cyber threat prevention
X.ai: AI for scheduling meetings
Drive.ai: AI for autonomous vehicles
You get the gist by now — the common theme among these companies is that they take Machine Learning / AI and use it on a specific problem or space. When researching investments like this, investors will look at both the AI itself (if it works well) and the particular business case (whether it’s compelling). In x.ai they do). With the other two types of companies, this is rarely a consideration. Founders of these types of companies can often not have AI experience and can even be non-technical (with the right supporting team and CTO, of course).
The AI Spectrum
To understand how these categories hold up in comparison to each other, we can define two critical axes for defining and evaluating these types of companies: ROI timeline and applicability, both from the customer perspective.
The upper axis represents the ROI timeline for customers, while the lower axis shows the applicability to different types of businesses.
Core AI: a significant investment that will likely take time to pay off, but can add benefit to almost any sector. Will generally be used by data scientists or other engineers who are deeply technical.
Application AI: a medium term investment that can prove useful soon but will take some time to integrate into business processes. Relevant to multiple parts of a business and used by both technical and non-technical staff.
Industry AI: an investment that can pay dividends almost immediately, but is going to only solve one specific type of problem. Will be used mostly (after set-up) by non-technical staff (sales, marketing, etc.).
These categorizations are generalized, so there are definitely exceptions (Core AI that is quick to deploy, etc.).
| 2017-09-12T00:00:00 |
2017/09/12
|
https://startupsventurecapital.com/what-it-means-to-be-an-ai-company-45bc7bc55750
|
[
{
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"position": 56,
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{
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},
{
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{
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"query": "AI employers"
},
{
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},
{
"date": "2024/05/01",
"position": 55,
"query": "AI employers"
},
{
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"query": "AI employers"
},
{
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},
{
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"query": "AI employers"
},
{
"date": "2024/12/01",
"position": 62,
"query": "AI employers"
},
{
"date": "2025/01/01",
"position": 56,
"query": "AI employers"
},
{
"date": "2025/04/01",
"position": 55,
"query": "AI employers"
}
] |
Top AI Companies Hiring Remote 2025 | Built In
|
Top AI Companies Hiring Remote 2025
|
https://builtin.com
|
[] |
Top AI Companies Hiring Remote (740) · RTB House · John Deere · KUBRA · Hinge · Iodine Software · Voltage Park · Hex · Vendavo. Artificial Intelligence • Big ...
|
Artificial Intelligence • Machine Learning • Mobile • Other • Social Impact • Software • App development
New York, New York, USA 305 Employees
In today’s digital world, singles are so focused on sending likes and looking through profiles that they’re not actually building meaningful connections and going on dates. Hinge is on a mission to change that by designing the most effective app experience. We want to create a less lonely world by inspiring intimate, in-person connections. Relationships are at the core of everything we do. And not just the romantic kind. We can't accomplish really hard things alone - so we make great relationships the foundation of our teamwork. We believe these three core values are what it takes to build those great relationships: Authenticity, we share - never hide - our words, actions, and intentions. Courage, breakthroughs require a willingness to take risks and embrace lofty goals and tough challenges. Empathy, we're all humans first. So we deeply consider the perspectives of others, listen openly, and speak with care.
| 2022-12-01T00:00:00 |
https://builtin.com/companies/hiring/remote/type/artificial-intelligence-companies
|
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"position": 57,
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{
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{
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{
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{
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{
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{
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"query": "artificial intelligence employers"
},
{
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}
] |
|
The Top AI Companies to Follow in 2024 - Founderoo
|
The Top AI Companies to Follow in 2024: The Companies to Watch in the World of Artificial Intelligence
|
https://www.founderoo.co
|
[] |
As we can see, the future of AI is bright with companies like Neuralink, OpenAI, Boston Dynamics, Anthropic, DeepMind, and Vicarious leading the charge in the ...
|
The world of artificial intelligence is rapidly evolving, with a number of cutting-edge companies leading the way in AI research and development in 2024. From Neuralink's ambitious goal of creating a device that allows for the uploading and downloading of thoughts and memories to OpenAI's pursuit of building safe and beneficial artificial general intelligence, these companies are making significant progress in some of the most sought-after areas of AI. Boston Dynamics is pushing the boundaries of robotics design with its dynamic, highly mobile robots, while Anthropic focuses on developing reliable and interpretable AI systems. DeepMind is revolutionising the field of deep learning, and Vicarious is working towards building a new type of AI that can learn and reason like humans. These companies are driving innovation and shaping the future of AI, making them ones to watch in 2024.
Keep reading to learn more about these innovative companies and stay in the loop about the developments in the world of AI.
Neuralink
Neuralink was founded in 2016 by Elon Musk and a team of scientists and engineers with the goal of developing technology to treat brain diseases and eventually enhance human capabilities. The company is inspired by the science fiction concept of a "neural lace," which is a digital layer implanted in the brain that allows for a symbiotic relationship with artificial intelligence.
The long-term vision for Neuralink is to create a device that allows for the uploading and downloading of thoughts and memories, as well as addressing brain injuries and restoring lost cognitive abilities through the use of a chip. While the company is currently focused on treating brain diseases in the short term, it ultimately aims to achieve a future where humans can seamlessly merge with artificial intelligence.
• Website: neuralink.com
• Location: Fremont, California, United States
• Year founded: 2016
• Funding: $638M
• Founders: Elon Musk
• Number of employees: 389
OpenAI
OpenAI is an artificial intelligence (AI) research laboratory dedicated to developing friendly AI that will benefit humanity as a whole. The company was founded in 2015 by a group of notable figures, including Sam Altman, Elon Musk, Greg Brockman, Reid Hoffman, and Peter Thiel, who pledged over $1 billion to the venture. OpenAI is headquartered in San Francisco and is committed to openly collaborating with other institutions and researchers by making its patents and research available to the public.
OpenAI's ultimate goal is to create artificial general intelligence (AGI), which refers to highly autonomous systems that are capable of outperforming humans in most economically valuable work. In order to achieve this, OpenAI will work towards directly building safe and beneficial AGI and will also consider their mission accomplished if their work helps others achieve the same outcome.
• Website: openai.com
• Location: San Francisco Bay Area, West Coast, Western US
• Year founded: 2015
• Funding: $11.3B
• Founders:
Sam Altman
Ilya Sutskever
Greg Brockman
Wojciech Zaremba
Elon Musk
John Schulman
• Number of employees: 770
Boston Dynamics
Boston Dynamics is an engineering and robotics design company that has become well-known for developing a series of dynamic, highly mobile robots. Some of their most popular robots include BigDog, Spot, Atlas, and Handle. In 2019, they made Spot commercially available, making it the first of their robots to be sold to the general public.
They have also expressed their intent to commercialise other robots, including Handle. The company was founded in 1992 as a spin-off from the Massachusetts Institute of Technology and is headquartered in Waltham, Massachusetts. In December 2020, it was acquired by the Hyundai Motor Group, and the acquisition was completed in June 2021.
Boston Dynamics' mission is to create robots that can enrich people's lives by approximating the mobility, dexterity, and agility of humans and animals. They see their work on robots as the next step in the evolution of building machines to reduce danger, repetition, and physically demanding work.
• Website: bostondynamics.com
• Location: Greater Boston Area, East Coast, New England
• Year founded: 1992
• Funding: $921M (acquired)
• Founders: Marc Raibert
• Number of employees: 664
Midjourney
Midjourney is an independent research lab and AI company that has developed an AI-powered image generation tool. The tool is primarily accessed through a Discord bot and allows users to generate a set of images based on a provided prompt. It has gained popularity among artists for rapid prototyping of artistic concepts and in the advertising industry for content creation and ideation. Midjourney has three subscription tiers: Basic, Standard, and Pro, offering varying degrees of GPU time and features.
The company has also implemented advanced content moderation systems, allowing for nuanced interpretation of user prompts while preventing the generation of contentious images. Despite its success, Midjourney has faced legal challenges, with artists filing a copyright infringement lawsuit against the company, alleging unauthorized use of images for AI training. Overall, Midjourney represents a significant evolution in AI-powered creativity and content generation, while also highlighting the ongoing challenges related to copyright, content moderation, and ethical AI use.
• Website: midjourney.com
• Location: San Francisco, California, United States
• Year founded: 2022
• Funding: Self funded
• Founders: David Holz
• Number of employees: 11-50
Deepmind
DeepMind is a London-based artificial intelligence company that was acquired by Google in 2014. It is known for its research and development in the field of artificial intelligence and machine learning, and has made significant contributions to the advancement of these technologies. Some of the notable achievements of DeepMind include the development of AlphaGo, the first computer program to defeat a human professional player at the board game Go, and the development of AlphaZero, a general-purpose artificial intelligence that can learn to play a wide variety of games and other tasks from scratch, without any prior knowledge or data.
DeepMind has also developed a number of AI-powered applications and products, including an AI system that can recognise and classify objects in images and video and a voice recognition system that can transcribe and understand spoken language.
• Website: deepmind.com
• Location: London, England, United Kingdom
• Year founded: 2010
• Funding: $700M (estimated)
• Founders:
Demis Hassabis
Shane Legg
Mustafa Suleyman
• Number of employees: 1,528
Anthropic
Anthropic is a company that focuses on AI safety and research, working to develop reliable, interpretable, and steerable AI systems. They are primarily focused on research at this time, with a broad range of interests, including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
Anthropic values collaboration and seeks to involve a wide range of experts in determining their research direction, including researchers, engineers, societal impact experts, and policy analysts. They also prioritise the evaluation of potential societal impacts and strive for a combination of top-down and bottom-up research planning. They seek to collaborate with other labs and researchers in order to advance the understanding of these systems.
• Website: anthropic.com
• Location: San Francisco Bay Area, West Coast, Western US
• Year founded: 2021
• Funding: $3.3B
• Founders: Dario Amodei
• Number of employees: 300
Figure AI
Figure, established by Brett Adcock (founder of multi-million valued startups Archer Aviation and Veteri) in 2022, focuses on creating versatile humanoid robots, delving into an innovative niche. Initially a bootstrapped venture, Brett personally managed the company's finances. The journey took a significant turn in 2023 when Figure secured $70 million in its Series A funding round, marking a pivotal moment for the company.
Figure's core mission revolves around addressing the substantial job vacancies by introducing highly advanced humanoid workers. The United States faces a considerable deficit, with 10 million job openings, particularly in essential sectors like warehouses and retail. This is exacerbated by only 6 million available workers, and the number is steadily declining.
To tackle this challenge, Figure envisions humanoid workers capable of intelligent thinking, learning, and collaborating safely with human counterparts. Brett, in an interview, expressed his ambitious goal of launching 10 billion humanoid robots in the coming decades, aiming for accessibility comparable to cars and smartphones.
• Website: https://www.figure.ai/
• Location: Sunnyvale California
• Year founded: 2022
• Funding: $75M
• Founders: Brett Adcock
• Number of employees: 50
Darktrace
Darktrace is a cybersecurity company that uses artificial intelligence and machine learning to detect and respond to cyber threats in real-time. Its products are designed to protect organisations against a wide range of cyber threats, including malware, ransomware, and advanced persistent threats.
Darktrace's technology is based on the concept of "immune system" defence, which uses machine learning algorithms to learn the normal behaviour patterns of an organisation's networks and devices. This allows the system to identify and alert on unusual activity that may indicate a cyber threat. The company's products also include a range of response options, such as blocking malicious traffic, isolating infected devices, and providing forensic analysis to help organisations understand the full extent of a cyber attack and take appropriate action.
In addition to its core products, Darktrace also offers a range of professional services, including incident response, threat hunting, and threat intelligence. These services are designed to help organisations strengthen their cyber defences and effectively respond to cyber-attacks.
• Website: darktrace.com
• Location: St John's Innovation Park, Cowley Road, Cambridge, Cambridgeshire CB4 0DS, GB
• Year founded: 2013
• Funding: $230.5M
• Founders: Poppy Gustafsson
• Number of employees: 2,481
MindBridge
MindBridge is a company that provides a range of financial audit and analysis software solutions. Its products are designed to help businesses and organisations improve the accuracy and efficiency of their financial processes, including the detection of fraudulent activity. Some of the products offered by MindBridge include:
MindBridge Ai Auditor: A cloud-based tool that uses artificial intelligence (AI) to help auditors identify unusual patterns and anomalies in financial data, enabling them to detect potential fraud and errors.
MindBridge Ai Tax: A software solution that uses AI to automate tax compliance tasks, including the preparation of tax returns, the calculation of tax liability, and the identification of tax credits and deductions.
MindBridge Ai Insights: A tool that uses AI to analyse financial data and provide insights and recommendations to help businesses improve their financial performance.
A wide range of businesses and organisations, including accounting firms, financial institutions, and government agencies, uses MindBridge's software.
• Website: mindbridge.ai
• Location: 1730 St Laurent Blvd, Suite 540, Ottawa, Ontario, Canada K1G 5L1
• Year founded: 2015
• Funding: $98M
• Founders: Solon Angel
• Number of employees: 187
BigML
BigML is a cloud-based machine learning platform that provides a range of tools and services for building, evaluating, and deploying machine learning models. It offers a user-friendly interface and a wide range of features that make it easy to use machine learning in a variety of applications, including predictive modelling, classification, clustering, and anomaly detection.
BigML provides a range of machine learning algorithms, including decision trees, ensembles, logistic regression, and deep learning, and allows users to work with data in a variety of formats, including CSV, JSON, and SQL. The platform also offers integrations with other tools and services, such as Python, R, and Jupyter, and provides resources and support for users to learn about machine learning and get started with the platform.
• Website: bigml.com
• Location: 2851 NW 9th, Suite D, Conifer Plaza Building, Corvallis, OR 97330, US
• Year founded: 2011
• Funding: $4.4M
• Founders: Francisco J Martin
• Number of employees: 40
Meta AI
Meta AI is an artificial intelligence laboratory that belongs to Meta Platforms Inc. (formerly known as Facebook, Inc.). Meta AI intends to develop various forms of artificial intelligence, improving augmented and artificial reality technologies.
Meta AI is an academic research laboratory focused on generating knowledge for the AI community. This is in contrast to Facebook's Applied Machine Learning (AML) team, which focuses on practical applications of its products. Meta AI started as Facebook Artificial Intelligence Research (FAIR) with locations in the Menlo Park, California headquarters, London, United Kingdom, and a new laboratory in Manhattan.
FAIR was officially announced in September 2013. It was directed by New York University's Yann LeCun, a deep learning Professor and Turing Award winner. Working with NYU's Center for Data Science, FAIR's initial goal was to research data science, machine learning, and artificial intelligence. FAIR's goal was "to understand intelligence, to discover its fundamental principles, and to make machines significantly more intelligent". Research at FAIR pioneered the technology that led to face recognition, tagging in photographs and personalised feed recommendations.
Meta AI's goal is to advance AI in Infrastructure, Natural Language Processing, Generative AI, Vision, Human-Computer Interaction, and many other areas. This will enable the community to build safe and responsible solutions to address some of the world's greatest challenges.
• Website: ai.facebook.com
• Location: Menlo Park, California
• Year founded: 2015
• Funding: $108 B
• Founders: Yann LeCun, Mark Zuckerberg, Rob Fergus
• Number of employees: 10,001+
Google Brain
Google Brain is a deep learning artificial intelligence research team under the umbrella of Google AI, a research division at Google dedicated to artificial intelligence. It was formed in 2011 and combines open-ended machine learning research with information systems and large-scale computing resources.
The team has created tools such as TensorFlow, which allows for neural networks to be used by the public, with multiple internal AI research projects. The team aims to create research opportunities in machine learning and natural language processing.
Google Brain has contributed to a number of projects, including image enhancement, Google Translate, and speech recognition. It has also designed an experiment showing that neural networks are capable of learning secure symmetric encryption. Google Brain is headquartered in Mountain View, California.
• Website: research.google/teams/brain
• Location: Mountain View, California
• Year founded: 2011
• Funding: $57 M
• Founders: Jeff Dean, Greg Corrado and Andrew Ng
• Number of employees: 3,500
Hanson Robotics
Hanson Robotics is a Hong Kong-based engineering and robotics company known for developing human-like robots with artificial intelligence for various applications, including entertainment, healthcare, and research. The company's robots, including Sophia, BINA48, and Albert HUBO, are designed with a patented elastomer skin called Frubber that mimics the feel and flexibility of human skin. Hanson Robotics' robots are designed to mimic human appearance and are known for their expressive facial features and ability to mimic human expressions.
The company's most well-known robot, Sophia, has gained global media attention and has been featured in numerous press interviews and on television shows. The company's focus is on building robots that can replicate the look of humans.
• Website: hansonrobotics.com
• Location: Hong Kong Science Park, G02A-2, G/F Photonics Centre, Phase One , Hong Kong Science Park, Pak Shek Kok New Territories, HK
• Year founded: 2013
• Funding: $2.6B
• Founders: David Hanson
• Number of employees: 55
Numenta
Numenta is a technology company that focuses on developing machine learning algorithms and software based on principles of the brain's neocortex. The company's research centres on Hierarchical Temporal Memory (HTM), a theory of the brain's neocortex that provides a computational framework for understanding how the brain processes and stores information.
Numenta has developed a number of products based on HTM, including software for anomaly detection and prediction applications, and has published numerous research papers and articles on HTM and related topics. Numenta's goal is to understand the human brain and how it creates intelligence and to apply these principles to enable machine intelligence.
The company was founded in 2005 by Jeff Hawkins, Donna Dubinsky, and Dileep George, and has developed a framework called the Thousand Brains Theory of Intelligence for understanding the neocortex and its functions. Numenta is focused on commercialising its brain-based AI technology.
• Website: numenta.com
• Location: 889 Winslow Street, 4th Floor, Redwood City, CA 94063
• Year founded: 2005
• Funding: $23.6M
• Founders: Jeff Hawkins, Donna Dubinsky
• Number of employees: 23
As we can see, the future of AI is bright with companies like Neuralink, OpenAI, Boston Dynamics, Anthropic, DeepMind, and Vicarious leading the charge in the field. These innovative companies are driving progress in AI research and development and shaping the direction that the field will take in the future. Whether it be Neuralink's goal of merging humans with AI or OpenAI's pursuit of artificial general intelligence, these companies are pushing the boundaries of what is possible and paving the way for a new era of artificial intelligence. Be sure to keep an eye on these cutting-edge AI technology companies as they continue to make waves in the industry in the coming years.
Viz.ai
The timely delivery of stroke care is critical to preventing severe outcomes. Studies show that a vast majority of patients face severe consequences without prompt diagnosis and treatment. Viz.ai, a healthcare AI firm established by Chris Mansi and David Golan in 2016., targets this issue. Using FDA-approved AI technology, the company streamlines stroke care, reducing delays between crucial treatments and patient care.
Having secured FDA approval in 2018, Viz.ai launched its software for commercial use. Notable innovations include Viz LVO, which identifies potential Large Vessel Occlusion (LVO) cases, and Viz VIEW, a DICOM viewer offering advanced image viewing capabilities for various medical scans.
Additionally, Viz CTP utilizes AI to analyze perfusion images, generating detailed maps for medical assessments. With significant funding of $292 million, the company now caters its solutions to various medical institutions and hospital networks, such as the Swedish Health System in Denver and Mount Sinai Health System in NYC.
• Website: https://www.viz.ai/
• Location: San Francisco, CA
• Year founded: 2016
• Funding: $292M
• Founders: Chris Mansi and David Golan
• Number of employees: 200-500
Nvidia
Essentially a computing hardware manufacturing and technology company, NVIDIA offers an array of AI solutions tailored for diverse industries and enterprise needs. Their advanced AI platform provides robust capabilities for data science and AI applications. Additionally, NVIDIA caters to various industries by delivering specialized AI solutions designed to optimize processes and drive innovation.
Their deep learning and AI solutions are aimed at empowering businesses with cutting-edge technology, leveraging GPUs and software ecosystems. Nvidia offers a comprehensive suite of AI solutions tailored for enterprises seeking high-performance computing and streamlined AI workflows. The NVIDIA DGX™ Cloud serves as an all-encompassing AI training service, granting immediate access to a dedicated supercomputer within leading clouds.
It facilitates multi-node training at scale, easily accessible through a web browser, catering to the intensive computational needs of AI training processes. NVIDIA AI Enterprise forms the software layer of their AI platform, optimizing the entire AI workflow. This software accelerates the data science pipeline and simplifies the development and deployment of AI solutions, ensuring a seamless and efficient process from conception to production.
Additionally, Nvidia presents the power of NVIDIA AI Foundations, offering cloud-based services specialized in customizing and operating AI models for text, visual media, and biology-based generative AI.
• Website: https://www.nvidia.com/en-in/ai-data-science/
• Location: Santa Clara, CA
• Year founded: 1993
• Funding: unknown (and self-funded)
• Founders: Jensen Huang
Curtis Priem
Chris Malachowsky
• Number of employees: 26,196
Inflection
Inflection AI is a pioneering machine learning startup focused on enhancing human-computer interaction through AI-driven solutions. The company is dedicated to revolutionizing how people engage with technology, aiming to address challenges individuals encounter while interacting with computers.
Found just an year back with a small team of just 30 people, the company is already valued between $3B and $4B, and has already raised $1.5B of investment, backed by giants like Microsoft, Bill Gates, Reid Hoffman, Eric Schmidt, Nvidia, etc.
The company operates as an AI studio, employing a multidisciplinary team to create and refine AI solutions that resonate with users. Their flagship product, Pi, is an AI-based chatbot designed to assist users in various capacities. Pi's functionalities include answering queries, offering subject matter expertise, and providing emotional support.
Inflection AI's primary offering revolves around a personal AI designed to cater to individual needs, harnessing AI technology to facilitate seamless and intuitive interactions between users and machines. Moreover, this technology is so accessible to the consumers that it's also available as android and iOS applications, on Play store and App store.
• Website: https://inflection.ai/
• Location: Palo Alto, California
• Year founded: 2022
• Funding: $1.5B
• Founders: Mustafa Suleyman
• Number of employees: 30
Databricks
Databricks is a prominent data intelligence platform leveraging generative AI to power data-driven decision-making. Developed as a web-based platform for Spark, it offers automated cluster management and facilitates analytics using IPython-style notebooks.
It serves as a collaborative workspace for data teams, providing a unified environment to handle data engineering, data science, and analytics tasks. Databricks integrates with various data sources and allows for scalable data processing and analysis, aiding in the creation of machine learning models and streamlining workflows.
The platform's focus extends to the concept of a "Lakehouse," blending the best attributes of data lakes and data warehouses. It aims to combine the flexibility of data lakes with the reliability and performance of data warehouses, referred to as the "Lakehouse platform."
In a notable move during the bustling AI landscape of 2023, Databricks made waves by acquiring MosaicML, a startup aiding businesses in crafting personalized AI models, for $1.3 billion in June. This strategic step distinguishes the No. 2 Cloud 100 company from No. 1 OpenAI, which generates revenue by providing access to its GPT-4 model.
Databricks' strategy of focusing on tailored, smaller-scale models aligns with its flagship data concept termed "lakehouse," allowing customers to store and analyze raw data efficiently. Over 10,000 firms, including Adobe, Shell, and USPS, leverage Databricks' solutions to develop analytics and machine learning tools. The company concluded its fiscal year in January 2023 with a robust revenue of $1B.
Founded by seven UC Berkeley academics—Ali Ghodsi, Matei Zaharia, Arsalan Tavakoli-Shiraji, Patrick Wendell, Reynold Xin, Andy Konwinski, and Ion Soica—Databricks boasts a valuation surpassing $43B.
• Website: www.databricks.com/
• Location: San Francisco, California
• Year founded: 2013
• Funding: $4B
• Founders: Ali Ghodsi
• Number of employees: 5500
Hugging Face
Hugging Face is an AI-focused company that specializes in developing open-source tools and platforms for machine learning applications[4]. It operates as a community-driven platform where individuals collaborate on building models, datasets, and applications for machine learning[3]. The company aims to democratize machine learning by making it accessible and user-friendly.
It provides a collaborative Machine Learning Collaboration Platform, enabling the building, training, and deployment of machine learning models and datasets in a collaborative environment. Additionally, Hugging Face offers the Model Hub, serving as a centralized space for hosting, accessing, and sharing diverse machine learning models and datasets created by the community.
Another critical aspect is Compute Access, granting entry to essential compute resources for AI projects, simplifying the execution of machine learning tasks. In August 2023, the startup made a significant milestone with a Series D round, amassing $235 million from investors such as Salesforce and NVIDIA.
• Website: huggingface.co
• Location: Manhattan, New York City
• Year founded: 2016
• Funding: $396M
• Founders: Clément Delangue (CEO)
Julien Chaumond (CTO)
Thomas Wolf (CSO)
• Number of employees: 200-500
CoHere
CoHere is an AI platform focused on empowering enterprises with large language models (LLMs) for building robust applications in text-based tasks like comprehension, search, and conversational interfaces. The platform offers world-class LLMs designed to cater to enterprise needs, enabling advanced capabilities in understanding context and generating meaningful conversations within applications.
CoHere's AI technology targets businesses, providing them with tools to create powerful and secure applications leveraging natural language processing capabilities for enhanced user experiences and efficient text-based interactions.
Their flagship product, Coral, serves as a conversational AI toolkit empowering enterprises to develop RAG-enabled (retrieval-augmented generation) knowledge assistants for both employees and customers. Coral enhances response accuracy by dynamically integrating relevant information using RAG, ensuring precise and minimally hallucinated answers based on extensive data searches.
Another core product, Embed, represents CoHere's leading text representation language model. It significantly refines search accuracy, RAG capabilities, classification, and clustering, particularly excelling in handling noisy real-world datasets by understanding data intricacies. Embed's prowess lies in enabling semantic search, improving retrieval-augmented generation, facilitating clustering for text archives, and enhancing text classification through its robust embedding performance.
Additionally, CoHere's Command model, renowned for its dynamic text generation, stands out in following user commands for practical business applications. Command is continually evolving, trained specifically for business-centric functions like summarization, copywriting, dialog, and question answering, with a relentless focus on security, privacy, and responsible AI practices.
Lastly, CoHere recently raised its Series C funding round at a $2.2B valuation.
• Website: https://cohere.com/
• Location: Toronto, CA
• Year founded: 2019
• Funding: $435M
• Founders: Aidan Gomez
• Number of employees: 200-500
Anduril Industries
Anduril Industries specializes in developing cutting-edge defense technology solutions tailored for security and defense purposes. Among its prominent offerings are Ghost, an autonomous small unmanned aerial system (sUAS) optimized for intelligence, surveillance, and reconnaissance missions. Complementing this is Sentry, a hardware system focused on enhancing border security and surveillance, employing advanced sensor technologies and AI-driven capabilities.
Additionally, Anduril provides CounterUAS solutions aimed at countering unmanned aerial system threats by detecting, identifying, and mitigating potential risks posed by drones. These products, alongside others such as Menace, ALTIUS, Anvil, Dust, WISP, and Dive-LD, contribute comprehensively to security awareness, surveillance, and defense across diverse domains. By integrating hardware and software, Anduril emphasizes security, intelligence gathering, and protection in various defense contexts.
The company disclosed securing a significant $1.48 billion in Series E funding, propelling its valuation to $8.48 billion—an impressive surge from its previous valuation in June 2021. With these funds, Anduril is set to expedite its research and development endeavors, aiming to introduce state-of-the-art defense capabilities to the market. Additionally, the company intends to fortify and expand its existing business collaborations with the US Department of Defense, as well as strengthen partnerships with US allies and associates.
• Website: https://www.anduril.com/
• Location: Costa Mesa, California
• Year founded: 2017
• Funding: $2.4B
• Founders: Brian Schimpf
• Number of employees: 1600
Shield AI
Shield AI is an American aerospace and defense technology company renowned for developing cutting-edge artificial intelligence-powered systems, specifically AI pilots, for military applications. Shield AI's co-founder, Brandon Tseng, drew from his Navy SEAL experience to recognize critical situations where intelligent autonomy could have been pivotal for saving lives.
This firsthand understanding prompted Tseng to contemplate the future military landscape in 2030 and the indispensable role of autonomy within it. Their flagship product, Hivemind, stands as an AI pilot that facilitates autonomous operations of swarms of drones and aircraft even without GPS, communication, or human pilots.
This innovative technology is geared towards enabling unmanned systems to function independently in challenging environments, enhancing military capabilities. Additionally, Shield AI's contributions extend to the field of device-first fraud prevention and risk intelligence, providing businesses with tools powered by advanced AI and device fingerprinting to combat online fraud and build trust.
The company recently closed its Series F investment round of $200M at a valuation of $2.7B.
• Website: https://shield.ai/
• Location: San Diego, California
• Year founded: 2015
• Funding: $828M
• Founders: Brandon Tseng
• Number of employees: 500-1,000
Tesla
Tesla, founded by Elon Musk and others in 2003, is renowned for revolutionizing the automotive industry with electric vehicles (EVs) and advancements in artificial intelligence (AI). Tesla is a pioneer in AI-driven technology, applying it extensively in various domains. Their AI efforts are particularly evident in their autonomous driving systems, robotics, and innovative AI applications in vehicles and other products.
Elon Musk, Tesla's CEO, has emphasized the significant role of advanced AI in Tesla's self-driving technology, envisioning a future where AI-backed systems enable autonomous vehicles on a large scale. Additionally, Tesla unveiled a humanoid robot, the Tesla Bot, during their AI Day in 2021, showcasing their ambitions to integrate AI into robotics. This robot was highlighted for its capabilities and improvements, demonstrated in videos shared by Elon Musk.
Tesla's AI infrastructure centers on neural networks for driving decisions, backed by the Dojo Chip for network training and the FSD Chip for onboard AI in vehicles. The Tesla Bot showcases AI advancements beyond driving tasks. The broader Dojo System encompasses AI training infrastructure for efficient learning. Tesla's autonomy algorithms interpret sensor data, evolving through machine learning. Code foundations and evaluation infrastructure ensure robustness and continuous improvement of their AI technologies. These elements underscore Tesla's dedication to advancing AI for driving and non-driving applications.
• Website: https://www.tesla.com/AI
• Location: Austin, Texas
• Year founded: 2003
• Funding: Self-funded -($97B Revenue in 2023)
• Founders: Elon Musk, Martin Eberhard, JB Straubel, Marc Tarpenning, Ian Wright
• Number of employees: 127,855
Vectra AI
Vectra AI is a cybersecurity company specializing in AI-driven solutions for detecting, investigating, and responding to cyber threats in real-time. Their platform utilizes AI to identify and tackle advanced cyber attacks by providing threat detection, incident investigations, and response capabilities. Founded in San Jose, California, Vectra uses AI-powered network intrusion detection to safeguard businesses from evolving cyber threats.
They've garnered significant funding, totaling $352.69 million, and have a presence across 12 locations with a workforce of 5 employees. Vectra's aim is to stop advanced attacks by leveraging AI to recognize and mitigate threats promptly. Lastly, the company is also in the Forbs AI 50 list.
• Website: https://www.vectra.ai/
• Location: San Jose, California
• Year founded: 2012
• Funding: $340M
• Founders: Hitesh Sheth
• Number of employees: 600+
Insitro
Insitro is a pioneering biotech company revolutionizing drug discovery and development by amalgamating machine learning, biology, and high-throughput technologies. Established with a mission to expedite drug development for patients in need, Insitro employs data-driven methodologies to identify potential drug candidates.
Their approach leverages machine learning algorithms to analyze biological data, thereby predicting potential drug targets and optimizing the drug development process. By integrating computational analysis with biological insights, Insitro aims to streamline drug discovery, bringing novel therapies to market more efficiently.
The company's core focus lies in transforming the traditional drug discovery landscape by minimizing the time and cost involved in bringing new drugs to market. Insitro's proprietary platform utilizes cutting-edge technology to create comprehensive models that simulate various disease conditions, allowing for more precise and targeted drug design.
• Website: https://www.insitro.com/
• Location: San Francisco, California
• Year founded: 2018
• Funding: $640M
• Founders: Daphne Koller
• Number of employees: 230
Runway
Runway AI is an innovative platform focusing on advancing creativity through artificial intelligence tools and models. This platform specializes in multimodal AI systems that enable novel creative tools for various applications, including filmmaking, image generation, and text manipulation. Their Gen-2 AI model, introduced in 2023, showcased capabilities to swiftly transform images into videos, marking significant advancements in generative AI technology.
The company has been a recipient of notable funding, securing $141 million in a Series C round to support the development of generative AI tools tailored for content creators. Established in 2022, Runway AI Film Festival celebrates artists embracing AI techniques in filmmaking, providing a platform for showcasing their work. The company already had a revenue of $16M in 2023, which was almost 4x its revenue in 2022.
• Website: https://runwayml.com/
• Location: New York
• Year founded: 2022
• Funding: $237M
• Founders: Cristóbal Valenzuela
• Number of employees: 44
| 2022-12-01T00:00:00 |
https://www.founderoo.co/resources/the-top-ai-companies-to-follow-the-companies-to-watch-in-the-world-of-artificial-intelligence
|
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Artificial Intelligence Stocks: The 10 Best AI Companies | Investing
|
Artificial Intelligence Stocks: The 10 Best AI Companies
|
https://money.usnews.com
|
[
"Wayne Duggan",
"Jordan Schultz",
"July",
"At P.M."
] |
Artificial Intelligence Stocks: The 10 Best AI Companies · Microsoft Corp. (MSFT) · Nvidia Corp. (NVDA) · Alphabet Inc. (GOOG, GOOGL) · Amazon.com Inc. (AMZN).
|
Artificial intelligence, automation and robotics are disrupting virtually every industry. In recent years, the world has gotten a firsthand look at remarkable advances in AI technology, including OpenAI's ChatGPT AI chatbot, Google's Gemini AI model and DeepSeek's AI assistant.
Whether it be machine learning, large language models, smart applications and appliances, digital assistants, synthetic media software or autonomous vehicles, companies that aren't investing in AI products and services risk becoming obsolete. Countless companies stand to benefit from AI, but a handful of stocks have AI and automation as a central part of their businesses. Here are 10 of the best AI stocks to buy, according to Argus:
Stock Upside/Downside Potential From July 2 Close Microsoft Corp. (ticker: MSFT) +7.1% Nvidia Corp. (NVDA) -4.6% Alphabet Inc. (GOOG, GOOGL) +23.1% Amazon.com Inc. (AMZN) +22.7% Meta Platforms Inc. (META) +10.7% Taiwan Semiconductor Manufacturing Co. Ltd. (TSM) -14.3% ASML Holding NV (ASML) +25.1% Adobe Inc. (ADBE) +32.1% International Business Machines Corp. (IBM) +0.8% Arista Networks Inc. (ANET) +28.5%
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Microsoft Corp. (MSFT)
Microsoft has invested nearly $14 billion in OpenAI and has integrated ChatGPT into its Bing search engine. The company has also combined all its AI copilots into a single AI experience called Microsoft Copilot. In May, Microsoft announced Microsoft Discovery, a new platform that allows scientific researchers and engineers to collaborate with specialized AI agents to facilitate scientific research. Analyst Joseph Bonner says Microsoft is moving aggressively to capitalize on the opportunities generative AI technology is opening via both internal AI development and investments in AI startups. Argus has a "buy" rating and $526 price target for MSFT stock, which closed at $491.09 on July 2.
Nvidia Corp. (NVDA)
High-end chipmaker Nvidia provides the massive processing power needed to run advanced AI applications. Nvidia has been one of the best-performing stocks in the entire market in recent years, and it's largely due to the company's AI exposure. Cloud services provider Nscale recently announced plans to deploy 10,000 Nvidia Blackwell graphics processing units by the end of 2026 as part of an effort to make the U.K. a global leader in AI technology. Analyst Jim Kelleher says AI demand will be key to Nvidia's growth outlook. Argus has a "buy" rating and $150 price target for NVDA stock, which closed at $157.25 on July 2.
Alphabet Inc. (GOOG, GOOGL)
Google and YouTube parent company Alphabet uses AI and automation in virtually every facet of its business, from ad pricing to content promotion to Gmail spam filters. Google launched its Bard AI chatbot in March 2023 and its Gemini general AI model in December 2023. In May this year, Google rolled out AI Mode, a new feature designed to use AI to provide more detailed and tailored responses to search queries. Bonner says Alphabet has done an excellent job maintaining its internet search dominance despite AI challengers and antitrust litigation. Argus has a "buy" rating and $220 price target for GOOGL stock, which closed at $178.64 on July 2.
Amazon has integrated AI into every aspect of its business, including its targeted advertisements, its marketplace search and recommendation algorithms, and Amazon Web Services. Amazon offers a wide range of AI and machine learning services to its AWS cloud customers, including advanced text analytics, automated code reviews and chatbots. Amazon CEO Andy Jassy recently said in a memo to employees that AI will "reduce our total corporate workforce as we get efficiency gains." Kelleher says demand for AI technology has helped energize its AWS business and significantly boost cloud services profit margins. Argus has a "buy" rating and $270 price target for AMZN stock, which closed at $219.92 on July 2.
Meta Platforms Inc. (META)
Meta Platforms is a market leader in social media and online advertising and is the parent company of Facebook, Instagram and other platforms. CEO Mark Zuckerberg has adopted a strategy of making Meta's AI technology free and open to the public in an effort to gain market share and drive down competitors' prices. Meta reportedly plans to allow brands to create ads and target users using only AI technology by the end of 2026. Bonner is bullish on Meta's $14.3 billion investment in Scale AI. Argus has a "buy" rating and $790 price target for META stock, which closed at $713.57 on July 2.
Taiwan Semiconductor Manufacturing Co. Ltd. (TSM)
Taiwan Semiconductor Manufacturing is the world's largest pure-play semiconductor foundry. The company manufactures all the advanced AI semiconductors for Nvidia and other AI chipmakers. Taiwan Semiconductor recently announced plans to open a new design center in Munich that could soon develop AI chips. Kelleher says tariff uncertainty has clouded Taiwan Semiconductor's outlook, but AI demand continues to fuel sales growth. He anticipates a rebound in electronic device demand and ongoing AI growth as AI technology becomes more mainstream. Kelleher projects ongoing double-digit annual revenue growth. Argus has a "buy" rating and $200 price target for TSM stock, which closed at $233.60 on July 2.
ASML Holding NV (ASML)
ASML produces photolithography systems and other processing equipment used in semiconductor fabrication. ASML is the only major producer of the extreme ultraviolet (EUV) lithography equipment necessary to produce advanced AI chips. Taiwan Semiconductor and Samsung Electronics are two of ASML's largest customers. In May, U.S. AI and crypto czar David Sacks said restricting trade of EUV equipment to China is the "single most important export control" for the U.S. in the AI semiconductor industry. Kelleher says AI and premium-tier device demand are revenue growth drivers. Argus has a "buy" rating and $1,000 price target for ASML stock, which closed at $799.59 on July 2.
Adobe Inc. (ADBE)
Adobe produces creative content software and other applications used for marketing and e-commerce. The company's Firefly generative machine learning model is generating customer interest across Photoshop, Illustrator and other platforms. Adobe has also applied its Sensei AI and machine learning technology to its Adobe Analytics, Campaign and Target products. In April, Adobe said it plans to release a mobile version of Firefly to compete with OpenAI in mobile AI image generation. Bonner says Adobe is innovating rapidly and integrating AI technology throughout its product offerings. Argus has a "buy" rating and $500 price target for ADBE stock, which closed at $378.47 on July 2.
International Business Machines Corp. (IBM)
For years, IBM has been developing ways to adapt its AI supercomputer Watson to revolutionize health care, finance, law and academia. IBM's portfolio of Watson AI solutions includes applications to improve customer service, automate workflow processes and predict outcomes. IBM's Watson Studio even helps enterprise customers build AI applications. In May, IBM and partner EY debuted EY.ai, an AI tool built with IBM watsonx to help organizations streamline data management and automate tax compliance. Kelleher says generative AI sales are critical to IBM's growth outlook. Argus has a "buy" rating and $290 price target for IBM stock, which closed at $287.65 on July 2.
Arista Networks Inc. (ANET)
| 2022-12-01T00:00:00 |
https://money.usnews.com/investing/articles/artificial-intelligence-stocks-the-10-best-ai-companies
|
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|
The 10 Best Examples Of How Companies Use Artificial Intelligence ...
|
The 10 Best Examples Of How Companies Use Artificial Intelligence In Practice
|
https://bernardmarr.com
|
[
"Bernard Marr"
] |
1. Alibaba · 2. Alphabet – Google · 3. Amazon · 4. Apple · 5. Baidu · 6. Facebook · 7. IBM · 8. JD.com. JD.com is the Chinese version of Amazon ...
|
All the world’s tech giants from Alibaba to Amazon are in a race to become the world’s leaders in artificial intelligence (AI). These companies are AI trailblazers and embrace AI to provide next-level products and services. Here are 10 of the best examples of how these companies are using artificial intelligence in practice.
1. Alibaba
Chinese company Alibaba is the world’s largest e-commerce platform that sells more than Amazon and eBay combined. Artificial intelligence (AI) is integral in Alibaba’s daily operations and is used to predict what customers might want to buy. With natural language processing, the company automatically generates product descriptions for the site. Another way Alibaba uses artificial intelligence is in its City Brain project to create smart cities. The project uses AI algorithms to help reduce traffic jams by monitoring every vehicle in the city. Additionally, Alibaba, through its cloud computing division called Alibaba Cloud, is helping farmers monitor crops to improve yield and cuts costs with artificial intelligence.
2. Alphabet – Google
Alphabet is Google’s parent company. Waymo, the company’s self-driving technology division, began as a project at Google. Today, Waymo wants to bring self-driving technology to the world to not only to move people around, but to reduce the number of crashes. Its autonomous vehicles are currently shuttling riders around California in self-driving taxis. Right now, the company can’t charge a fare and a human driver still sits behind the wheel during the pilot programme. Google signalled its commitment to deep learning when it acquired DeepMind. Not only did the system learn how to play 49 different Atari games, the AlphaGo programme was the first to beat a professional player at the game of Go. Another AI innovation from Google is Google Duplex. Using natural language processing, an AI voice interface can make phone calls and schedule appointments on your behalf. Learn even more about how Google is incorporating artificial intelligence and machine learning into operations.
3. Amazon
Not only is Amazon in the artificial intelligence game with its digital voice assistant, Alexa, but artificial intelligence is also part of many aspects of its business. Another innovative way Amazon uses artificial intelligence is to ship things to you before you even think about buying it. They collect a lot of data about each person’s buying habits and have such confidence in how the data they collect helps them recommend items to its customers and now predict what they need even before they need it by using predictive analytics. In a time when many brick-and-mortar stores are struggling to figure out how to stay relevant, America’s largest e-tailer offers a new convenience store concept called Amazon Go. Unlike other stores, there is no checkout required. The stores have artificial intelligence technology that tracks what items you pick up and then automatically charges you for those items through the Amazon Go app on your phone. Since there is no checkout, you bring your own bags to fill up with items, and there are cameras watching your every move to identify every item you put in your bag to ultimately charge you for it.
4. Apple
Apple, one of the world’s largest technology companies, selling consumer electronics such as iPhones and Apple Watches, as well as computer software and online services. Apple uses artificial intelligence and machine learning in products like the iPhone, where it enables the FaceID feature, or in products like the AirPods, Apple Watch, or HomePod smart speakers, where it enables the smart assistant Siri. Apple is also growing its service offering and is using AI to recommend songs on Apple Music, help you find your photo in the iCloud, or navigate to your next meeting using Maps.
5. Baidu
The Chinese equivalent of Google, Baidu, uses artificial intelligence in many ways. They have a tool called Deep Voice that uses artificial intelligence and deep learning that only needs 3.7 seconds of audio to clone a voice. They use this same technology to create a tool that reads books to you in the author’s voice—all automated with no recording studio necessary.
6. Facebook
One of the primary ways Facebook uses artificial intelligence and deep learning is to add structure to its unstructured data. They use DeepText, a text understanding engine, to automatically understand and interpret the content and emotional sentiment of the thousands of posts (in multiple languages) that its users publish every second. With DeepFace, the social media giant can automatically identify you in a photo that is shared on their platform. In fact, this technology is so good, it’s better at facial recognition than humans. The company also uses artificial intelligence to automatically catch and remove images that are posted on its site as revenge porn.
7. IBM
IBM has been at the forefront of artificial intelligence for years. It’s been more than 20 years since IBM’s Deep Blue computer became the first to conquer a human world chess champion. The company followed up that feat with other man vs. machine competitions, including its Watson computer winning the game show Jeopardy. The latest artificial intelligence accomplishment for IBM is Project Debater. This AI is a cognitive computing engine that competed against two professional debaters and formulated human-like arguments.
8. JD.com
JD.com is the Chinese version of Amazon. Its founder Richard Liu expects and is driving toward having his company be 100% automated in the future. Right now, its warehouse is already fully automated, and they have been making drone deliveries of packages for the last for years. JD.com is driving business with artificial intelligence revolution, big data, and robotics while building the retail infrastructure for the 4th industrial revolution.
9. Microsoft
Artificial intelligence is a term that appears on Microsoft’s vision statement, which illustrates the company’s focus on having smart machines central to everything they do. They are incorporating intelligent capabilities to all its products and services, including Cortana, Skype, Bing, and Office 365, and are one of the world’s biggest AI as a Service (AIaaS) vendors.
10. Tencent
Chinese social media company Tencent has incorporated artificial intelligence into its operations in its quest to become “the most respected internet enterprise,” Tencent relies on artificial intelligence. It has 1 billion users on its app WeChat, but has extended its reach to gaming, digital assistants, mobile payments, cloud storage, live streaming, sports, education, movies, and even self-driving cars. One of the company’s slogans is “AI in all.” Tencent acquires huge amounts of information and insights about its customers that it processes and leverages to the company’s advantage.
| 2021-07-02T00:00:00 |
2021/07/02
|
https://bernardmarr.com/the-10-best-examples-of-how-companies-use-artificial-intelligence-in-practice/
|
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AI in the Workplace: 5 Ways Companies Are Using Generative AI
|
AI in the Workplace: 5 Ways Companies Are Using Generative AI
|
https://www.britannica.com
|
[
"Allie Grace Garnett Is A Content Marketing Professional With A Lifelong Passion For The Written Word. She Is A Harvard Business School Graduate With A Professional Background In Investment Finance",
"Allie Grace Garnett",
"Doug Ashburn"
] |
Across industries, companies like HCA Healthcare, JPMorgan Chase, and Adobe are using generative AI to streamline processes and enhance productivity.
|
Artificial intelligence may be transforming industries by changing how people do their jobs. Generative AI is creating the most buzz because it’s the most user-friendly—and perhaps you’re already exploring how you can use AI at work.
Tools like OpenAI ’s ChatGPT and Google ’s Gemini can boost your productivity and provide you with valuable insights—but proceed with caution. You’re the professional, and it’s crucial to vet absolutely everything that an AI tool generates.
Artificial intelligence is poised to transform essentially every industry, and many enterprises are already using the tech in sophisticated ways. Here are a few examples of how companies* in different sectors are using generative AI.
*Note: This is not an exhaustive list—it’s a mere sampling of the ways in which AI is transforming work as we know it. Examples used in this article are for educational purposes only and are not an endorsement of any of the companies mentioned.
1. HCA Healthcare is improving documentation and workflow
Medical services provider HCA Healthcare (HCA) is collaborating with Google Cloud to use generative AI to better support doctors and nurses. The health care provider in 2023 began testing an AI-based solution to reduce the burden of physicians’ administrative tasks.
Here’s how it works:
AI technology extracts information from physician-patient conversations.
Generative AI creates the first drafts of medical notes.
Physicians manually review and finalize the notes.
The physician-approved notes are transferred to the patient’s electronic records.`
HCA is also experimenting with generative AI to improve patient handoffs between nurses—a typically manual task requiring nurses to communicate detailed patient information. HCA is aiming to use generative AI to standardize and automate the process.
2. JPMorgan Chase is streamlining corporate treasury
The banking behemoth JPMorgan Chase (JPM) is bringing generative AI to corporate treasurers. The Payments division announced in December 2023 that it’s developing a conversational analytics assistant that enables corporate treasurers to interact with their payments data in plain language.
“With a conversational analytics assistant … prompts and questions such as ‘show me a bar chart that captures how balances across my different accounts have changed over the last three months,’ ‘what’s my average quarterly payment frequency to my suppliers,’ and ‘show my last quarter’s foreign currency flows organized by currency pairs’ have the potential to be answered clearly and in seconds,” explains Tony Wimmer, head of analytics and insights for JPMorgan Payments.
Although JPMorgan has yet to release the finished product, it’s reporting that initial results are highly promising. Using generative AI, corporate treasury processes like information retrieval, reporting, and analytics are being completed in seconds rather than days.
3. Adobe is empowering marketers and creators
The technology company Adobe (ADBE) is using generative AI to change how marketers work. Building on the Adobe Experience Cloud—a comprehensive suite of digital marketing, advertising, analytics, and commerce tools—Adobe Sensei GenAI is designed to be a generative AI “copilot” for marketing professionals, designed for such tasks as automating workflows, generating personalized content, and using predictive analytics to help inform decision-making.
Writers, designers, and analytics professionals may also benefit from using Adobe’s generative AI. The company integrates generative artificial intelligence across many of its creator tools, including Photoshop, Illustrator, and Firefly (an app solely dedicated to AI image generation).
4. Bayer is providing expert agriculture information
The global conglomerate Bayer (BAYRY) is using generative AI in its agriculture division. The enterprise in March 2024 announced that it is testing a chat-based “expert GenAI system” that “quickly and accurately answers questions related to agronomy, farm management, and Bayer agricultural products.”
The chatbot aims to improve how farmers and agronomists get information. Bayer is using many sources of proprietary agronomic data—including extensive internal data, insights from thousands of software-testing trials, and the aggregated experience from Bayer agronomists—to train a large language model.
5. Toyota is enhancing the vehicle design process
Toyota (TM), specifically the Toyota Research Institute, is making car designers better at their jobs. The research organization in 2023 released an algorithm that enables designers to “optimize engineering constraints while maintaining their text-based stylistic prompts to the generative AI process.” The algorithm is designed to work in conjunction with tools like ChatGPT Google’s Gemini.
Toyota designers can, for example, request a suite of designs based on an initial prototype sketch with specific qualitative properties such as “sleek” and “SUV-like”—while also optimizing the design for specific quantitative performance metrics.
| 2022-12-01T00:00:00 |
https://www.britannica.com/money/examples-of-ai-in-the-workplace
|
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|
List Of Top 50 AI Companies In USA, India And Europe 2025
|
List Of Top 50 AI Companies In USA, India And Europe 2025
|
https://usmsystems.com
|
[] |
List of AI Companies: 50 Best Artificial intelligence Companies in US, India & Europe · #1 AEye · #2 AIBrain · #3 AlphaSense · #4 Amazon · #5 Anki · #6 Blue ...
|
Top 50 AI Companies in USA, India & Europe
List of Best 50 artificial intelligence AI companies in USA, India & Europe
Artificial Intelligence (AI) is broadly expanding in the market. Several AI start-ups and Artificial intelligence initiatives exist in the market.
In this digital era, AI is a significant investment area. Many tech AI companies like Microsoft and Google are heavily investing in AI. It is not limited to those companies, but every business is in plans to modernize with AI.
According to a survey conducted by The New York Times, 50 AI firms are playing a vital role in shaping the future with AI. Along with AI, these companies are benefiting with machine learning, deep learning, data science, speech recognition, and other AI technologies.
USM Business Systems – Expert In Custom AI & Mobile App Development Solutions
Location: Chantilly (Headquarters), VA, United States
Founders: Madan Kalakuntla
USM is the global leading artificial intelligence company based in Chantilly, United States. With our specialization using artificial intelligence and machine learning technologies, we fuel our client business with emerging AI solutions.
Our AI experts aim to develop and deliver result oriented and customer centric AI-driven mobility solutions for various businesses across diversified industries. We primarily deliver AI services to Banking and finance, healthcare, manufacturing, retail, e-commerce, telecom, marketing and sales, and education sectors.
We captured a strong brand name as the best Artificial Intelligence (AI) Services and Solutions provider across Virginia, California, New York, Illinois, Texas, Florida, Washington, and other states of the United States. Accordingly, we also have a strong footprint in European, Middle Eastern and other global emerging markets.
Related Services:
1) AI Services and Solutions
2) Mobile Application Development
3) Workforce Management
4) Cloud Management
5) HR Management
6) Machine Learning
7) Chatbot App development
Let’s drive in into the list top 50 Artificial Intelligence & Machine Learning companies that are a step forward in the AI industry. Want to talk to us get in touch with us for a quick 30 min demo on your AI requirements that your company was looking for.
Get your free resource here:
List of AI Companies: 50 Best Artificial intelligence Companies in US, India & Europe
Are you looking for AI consulting companies or AI development companies? Here is the list of AI companies in the USA.
#1 AEye
Location: Pleasanton, California
AEye is a leading AI app company in Pleasanton, California. Being one of the top AI development companies in the USA, it develops vision algorithms, software, and hardware to guide and control self-driving cars. It developed an efficient LiDAR technology. This technology focuses on relevant data in vehicle’s view like people, other autonomous vehicles or animals, etc. It puts less focus on buildings, sky, plants, etc.
I Conclude: Artificial Intelligence in the automobile industry has a great impact on the industry. Starting with driverless cars, taxis, buses, and trucks to robots that work on the factory floor, AI technology has transformed the automotive industry completely.
#2 AIBrain
Location: Menlo Park, California
AIBrain is a leading artificial intelligence company in California. The company has been ranked as one of the top 10 AI development companies in the USA. It is engaged in developing AI solutions for applications like robotics and smartphones. The company has developed AICore (an AI agent), iRSP (robot software platform), Futurable (AI-based game). AIBrain strives to develop AI products that are autonomous and can solve complex issues and learn from experience. The company is developing Conversational Artificial Intelligence Applications for Children and Adults.
#3 AlphaSense
Location: New York, NY
AlphaSense is one of the top AI development companies for banking and finance and Fortune 500 companies. Using AI technology, AlphaSense can find data on companies, SEC filings, earnings, and recent news from millions of research documents within seconds. It can extend keyword searches to find suitable content that helps clients.
I Conclude:
The use of Artificial intelligence in banking and finance is rapidly growing. Though AI in banking has been sounding for decades, now it is spreading its arms in the industry. Artificial intelligence applications in finance and AI devices in banking are completely transforming the way of operations in the sector. From bringing automation in processes and AI Chatbot applications in banking to data analysis, risk management, and improved personalization, AI is very much useful for bankers and financial institutions.
USM offers AI-powered mobility solutions and services the for banking and finance industries. To know more out our AI-based banking use cases, just click on the below link-
#4 Amazon
Location: Seattle, City in Washington
Amazon is one of the top 10 AI development companies. It offers various AI products for both consumers and businesses. Amazon Echo is one of its best AI applications. It is a smart speaker that connects to Alexa (An intelligent voice server). This AI device allows you to play music, set alarms and timers, answer questions, and control other smart home devices instantly.
#5 Anki
Location: San Francisco, California
Anki is an artificial intelligence startup based in California, USA. This evolving AI Company is completely focused on bringing robotics into daily life. Being one of the leading AI agencies in USA, It developed two innovative AI products including Cozmo and Anki Overdrive. Cozmo is the top robot of Anki. This product is the most matured consumer AI robots. It can give emotional responses. Overdrive is a complete car racing game with a track.
#6 Blue River Technology Inc.
Location: Sunnyvale, CA, USA
The US-based Artificial intelligence Company builds smart farm technologies by combining computer vision and Artificial intelligence. For instance, its See & Spray technology can develop smart agricultural equipment.
It can identify individual plants and apply herbicide to the weeds. This lessens the number of chemicals by near about 90% over previous traditional techniques. This will yield healthy crops and reduce the number of chemicals sprayed on crops.
I Conclude: Artificial intelligence technology is helping the agriculture sector in boosting yields. Accordingly, AI in agriculture helps to reduce environmental impacts on crops. Nowadays, approximately 40%-50% of startups in the agriculture sector are using AI solutions and methods to improve production.
The below are the top three applications of AI in agriculture industry:
Agricultural Robots: These AI-powered robots can harvest crops faster than humans can.
Weather Monitoring: AI accurately monitors weather conditions and predict future environmental impacts on crops.
Soil Monitoring: Using ML and deep learning techniques, AI-powered devices monitor soil conditions.
#7 Casetext
Location: California, United States
Founders: Jake Heller, Pablo Arredondo
Casetext is an AI-based legal search engine specialized in legal documents, with a database of over 10 million laws and regulations. This CARA A.I. legal research platform can finish the search in approximately 25% faster than other platforms. A recent study comparing legal research platforms found that attorneys using Casetext’s CARA A.I. finished their research 24.5% faster.
#8 CognitiveScale
Location: Austin, Texas, USA
Founders: Matt Sanchez
CognitiveScale is a Texas-based artificial intelligence company. It is one of the top healthcare ai companies in the USA. The company is engaged in the design and development of the best AI app applications for various industries like healthcare, banking and finance, and E-commerce. It is also popularized as one of the best healthcare AI companies in the USA.
Its innovative products are developed using its core Cortex augmented intelligence platform. It helps companies to design, develop, deliver, and manage enterprise level AI systems. It also offers an online AI-powered collaboration system for experts, data scientists, and app developers to solve their issues.
#9 Clarifai
Location: New York, NY
Founders: Matthew Zeiler
Clarifai Inc. is a New York-based Artificial Intelligence Company. It specialized in computer vision and utilizes machine learning and deep neural networks for finding and analyzing images and videos. It helps users to organize, filter, and search their required image database. Clarifai’s advanced AI-powered computer vision solutions unlock the potential of a vast database and accurately finds similarities in images.
#10 CloudMinds
Location: Santa Clara, California, USA
Founders: Bill Huang, Robert Zhang
It is one of the largest AI firms in USA. This Artificial Intelligence Company is an expert in advancing Human Augmented Robotics Intelligence (HARI) platform. CloudMinds creates, develops, and operates Cloud Robots. It connects Cloud AI to a wide network of service robots and smart devices.
I conclude: AI in Manufacturing: Usage of smart robots in manufacturing that embedded with AI, cloud, and the IoT are improving productivity and automating entire processes. Accordingly, the adoption of artificial intelligence apps and tools in manufacturing is also growing rapidly. With a belief that AI apps bring innovation in manufacturing processes, manufacturers are heavily investing in AI technology.
Hope, this is an incredible AI companies list. AI agencies in USA are helping organizations stay ahead in the digital competition.
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#11 DataRobot, Inc.
Location: Boston, MA
DataRobot’s innovative AI-based platform helps data scientists to develop machine learning models. It uses Machine Learning (ML) techniques, hence the users can build and run predictive approaches without any knowledge of ML and its related programming languages.
#12 DataVisor
Location: California, USA
Using ML techniques, DataVisor’s AI platform can identify fraudulent acts efficiently. It uses unsupervised ML techniques to detect malware before they damage data systems/networks. Especially, DataVisor helps banking clients to protect from various attacks such as fraud transactions, fake accounts, and many more financial attacks.
USM has a strong experience in developing Ai-powered mobile apps for banking customers. Our experts are specialized in using AI and ML techniques to detect irregular patterns of customers’ data. Thus, USM’s AI solutions for banking service providers help to identify and avoid fraudulent acts in a seamless manner.
#13 DeepMind
Location: London, United Kingdom
DeepMind is a UK-based artificial intelligence company. It was acquired by Google in 2014. The company is focused on developing innovative artificial intelligence systems that cover everything ranging from finance to healthcare. Currently, it has AI research centers in Canada, France, and the United States.
I conclude: Here, I would like to discuss artificial intelligence in the healthcare industry. Though being adopted by many sectors, AI uses in the healthcare industry are huge. Improved diagnostics and patient outcomes, minimal- invasive surgeries with AI robots, nursing assistants, remote treatments, etc are ensured using AI in the healthcare industry.
Know more about “5 Powerful Use Cases That Show The Significance Of AI In Healthcare”.
#14 Freenome
Location: South San Francisco, California, United States
Freenome utilizes AI technologies to detect the symptoms of cancer in the early stages. It helps healthcare service providers to conduct diagnostic tests that predict cancer easily. Freenome’s AI platform uses non invasive blood tests for recognizing related patterns of the disease.
I conclude: AI (in healthcare), together with machine learning is assisting physicians to predict the probability of cancer disease in the future. ML helps doctors to identify cancer disease and provide treatment at the right time.
Still, research work is ongoing to produce more efficient ML methods that diagnose various types of cancers in the early stages.
USM Business Systems with its expertise in using AI is providing the best artificial intelligence healthcare solutions to global clients. Know more about what type of AI services and solutions we provide to healthcare clients?
#15 Google
Location: California, United States
Google is a leader in developing Artificial Intelligence platforms. It was acquired 12 AI startups in four years. Google is investing heavily in AI to gain from the benefits of advanced AI capabilities. Instead of marketing its products, Google’s AI platform always focuses on improving its AI services. The company has two significant AI projects, including TensorFlow and Tensor AI chip.
#16 Graphcore
Location: Bristol, United Kingdom
Graphcore’s Intelligent Processing Unit (IPU) is specially designed to build AI-powered machines. The exclusive architecture of IPU allows developers to run ML models faster and improve productivity. The company is striving to accelerate ML and artificial intelligence applications to make machines intelligent.
#17 H2O.ai
H2O.ai is one of the leaders in Artificial Intelligence. The company’s powerful ML platforms and AI solutions are used by half of the Fortune 500 companies and trusted by over 18,000 organizations and thousands of data scientists worldwide. H2O.ai aimed at transforming every company as an AI company.
#18 IBM
Location: Armonk, NY, United States
IBM is the leader in developing Artificial Intelligence products and AI in solutions. Nowadays, its efforts are moving around IBM Watson. It developed an AI-based cognitive service, AI software as a Service, and scale-out systems to deliver cloud-based analytics and various AI services. IBM purchased three AI startups recently.
#19 iCarbonX
Location: Shenzhen, China
iCarbonX is a Chinese biotech startup. It uses AI technologies to offer health analyses and health index predictions. iCarbonX is an alliance formed with seven global tech companies. These companies collect vast healthcare data.
The company’s AI platform can analyze physiological, genomic, and behavioral information. Thus, this company provides customized medical and health advice.
Recommend: The Significance Of AI Technology By Industry
#20 Intel
Location: Santa Clara, CA, United States
Intel is a United States AI company focused on building Artificial Intelligence initiatives for both software and hardware purposes. Intel’s has developed two processors including Nervana processor (based on deep learning), and Movidius processor (based on neural network & visual recognition). The company also uses natural language processing technologies to introduce new and innovative AI products.
I Conclude: Many AI companies are focusing on developing Ai products using the capabilities of natural language processing techniques.
Know more about NLP : Brief of natural language processing technology
As it enables the machines to understand the human natural language, it is widely adopting by three major industries including healthcare, financial services, and legal.
Top NLP Use Cases in Healthcare
To analyze medical records and identify correlations between diagnosis, prescriptions, and treatments
To maintain quality care
To provide insights into patient data and gives predicts risks
Top NLP uses cases in Finance Sector
Credit scoring applications
Document search for business intelligence
Sentiment analysis for providing improved customer service
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#21 Iris.ai
Location: Oslo, Norway
Iris.ai helps scientists to get vital data that supports their research work. Using Natural Language Processing to review huge collections of research papers, Iris.ai platform can find the right documents, extract key data.
Since its introduction, over 120,000 scientists are using Iris.ai Neural Topic Modelling solutions. Recently, the company has released Iris.ai 4.0. It helps users to refine and collect a list of research literature. Thus, this Artificial Intelligence platform reduces manual efforts and gives valuable progress.
#22 Lobster
Lobster is an AI-based platform. It aids advertisers, brands, and media to find and authorize user generated social media content. Using AI and ML Algorithms, it scans multiple social media channels and clouds to find the most relevant content. Then, accurate images or videos will be delivered to the clients.
Recommended : List of Mobile App Development Companies USA
#23 Microsoft
Location: Redmond, Washington, United States
Microsoft deals with consumer oriented and business AI projects. The Cortana is the best digital assistant designed for consumers. This AI products are available on both windows and smartphone. Through its Azure cloud service, the company is offering AI services to businesses. The company is providing bot services, Machine learning services, and cognitive services.
I Conclude: Mobile and web-based digital assistants are performing and delivering results exactly like humans. Top 16 AI-powered personal assistants that understand voice commands and respond to your queries.
Google Assistant
Siri
Amazon Echo
BlackBerry Assistant
Jibo
Google now
Cortana
Hey Athena
Viv
Mycroft
Cubic
Nina
Vlingo
Maluuba
Bixby
Hound
#24 Narrative Science
Location: Chicago, Illinois, United States
Narrative Science is the United States leading Technology Company specialized in providing artificial intelligence solutions. It builds natural language generation technology to convert data into stories. In general, the data will be collected from many silos. AI focuses only on the most interesting and relevant data to transform data into valuable reports. In addition, it also transforms statistics into stories and numbers into knowledge.
#25 Nauto
Location: Palo Alto, CA, United States
Nauto is an AI-based technology used to enhance the safety of the commercial fleet. Also, it improves the safety patterns of autonomous cars by evaluating the integration process amid drivers, vehicles, and roads. This AI platform avoids accidents and ensures safe driving.
I Conclude: AI in the travel industry: The travel industry always needs the help of advanced technology to improve safety patterns and avoid unexpected accidents. Know more about How Artificial intelligence apps transforming the travel industry.
#26 Neurala
Location: Boston, MA, United States
Neurala’s Neurala Brain makes phones, cameras, and drones smarter. This deep learning neural network software is easy to use. The Neurala Brain uses low-power video and audio inputs to convert simple devices into more intelligent ones.
#27 Next IT Corporation
Location: Spokane Valley, Washington, United States
Next IT is a part of Verint. Verint is one of the leading companies in developing AI-powered customer service chatbots. The company builds conversational AI tools that engage customers with confidence. The company’s Alme platform enables natural language business products to evaluate customer satisfaction and overall performance.
#28 Nvidia
Location: Santa Clara, CA, United States
Nvidia is a leading artificial intelligence company based in Santa Clara, California, USA. Its CUDA GPU Programming language is gaining momentum in the market. In self-driving cars, Nvidia is putting great efforts.
#29 One Model Inc.
Location: Austin, London, Brisbane
OneModel is the best AI Company that helps Human Resource (HR) teams to manage and examine all of the data in an integrated way. The company’s AI-powered HR solutions help the HR department to bring their employees like recruiting, successions, engagement, payrolls, exits, and all others in a single uniform path.
I Conclude: Artificial intelligence HR: Artificial intelligence applications are meeting the needs of various recruiting and hiring needs. AI apps are easing the jobs of human resource departments. From searching and selecting candidate profiles to scheduling interviews, screening, and hiring, every job of the HR team can be automated using AI tools and applications.
#30 OpenAI
Location: San Francisco, California, United States
OpenAI is the United States-based non-profit Artificial Intelligence Research Company. It allows researchers and institutions to work together, and permits scientists to enable patents and the research work open to the public.
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#31 Orbital Insight
Location: Palo Alto, California
Orbital Insights is one of the best California based AI Company. It uses Artificial intelligence and satellite geospatial images to get insights that are invisible to the eye. The company uses information from IoT-based drones, satellites, and other aircraft to generate insights for agricultural and energy industries.
#32 Phrasee Ltd.
Location: San Francisco, CA, United States of America
Phrasee is specialized in using natural language generation technologies for marketing.
Phrasee is an AI-powered copywriting technology that uses email subject lines as a language laboratory. Later, verbal elements combine to discover a language model that’s tailored to the brand. Then, the AI technology will be applied to the brand unique language model across all marketing campaigns ranging from email to push, social to display, paid search to the web.
#33 Pointr
Location: London, United Kingdom
Pointr is specialized in indoor positioning and navigation enterprise with analytics features. It enables individuals to navigate busy locations such as stations and airports. Its modules comprise contextual notifications, indoor navigation, location based analytics, and location tracking. In addition, its Bluetook beacons use customer phones to help position them around the building.
#34 Salesforce
Location: San Francisco, CA, United States
Salesforce continues to expand its AI services through acquisition strategies. It has 100% ownership rights in three AI companies. Recently, the company has announced its new Salesforce Einstein AI service. This new initiative involves a group of 175 data scientists. Using ML algorithms, Salesforce helps employees to perform tasks efficiently. In addition, Salesforce Einstein is available for clients who able to build their own AI applications.
#35 SenSat
Location: London and San Francisco, United States
SenSat generates digital copies of physical environments. It applies artificial intelligence models to recognize the various parameters of that environment and give feedback. For instance, it enables infrastructure companies to analyze their environments quickly and provide statistical analysis about a road that is about to undergo repair work.
#36 Sherpa.ai
It is the best artificial intelligence company. Sherpa’s virtual personal assistant app for iOS and Android learns from the user and predicts their needs before they ask. Sherpa works with a range of consumer devices and things that are intelligent.
Recommend: Top 13 Artificial Intelligence Apps for iOS and Android
#37 Siemens
Location: Munich, Germany
Siemens mainly focuses on different sectors like digitization, automation, and energy efficient AI platforms. It is a leading company in providing smart devices and AI systems for power generation and transmission and medical diagnosis.
#38 Sift Science
Location: San Francisco, California, United States
Sift Science offers several fraud management services in a single AI platform. The company uses multiple data points from the web to train and detect fraud patterns.
#39 Tamr Inc.
Location: Cambridge, Massachusetts
Founders: Andy Palmer, Ihab Ilyas, Mike Stonebraker
Tamr is a leading data management service company that simplifies the data unification process. Its services are very scalable, low-cost, and accessible to any industry. It uses Artificial Intelligence to integrate data quickly and efficiently.
#40 Tempus
Location: Chicago, Illinois, USA
Founders: Eric Lefkofsky
Tempus is an emerging AI technology company with a focus on completely removing cancer. Using the power of artificial intelligence, it enables physicians to make real-time and data-driven decisions. Thus, its AI services ensure personalized patient care and optimized therapeutic options for patients through distinctive solution sets.
Best AI companies that work for modernizing healthcare sector.
Know More @
Recommended to read: Startups That Modernize the Healthcare Sector with AI
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#41 Tencent
Location: Shenzhen, China
Founders: Ma Huateng, Zhang Zhidong, Chen Yidan, Xu Chenye, Zeng Liqing
Tencent is a China-based social media company. Recently, they started an Artificial intelligence laboratory. It develops tools to process data across its network, including natural language processing, facial recognition, and news aggregators. In addition, they also have top video streaming platforms called Tencent Music.
#42 Twilio
Location: San Francisco, CA, USA
Founders: Evan Cooke, Jeff Lawson, John Wolthuis
Twilio is a cloud-based Platform as a Service (PaaS) company. It allows developers to combine audio and video calls and messages into intelligent apps using different APIs.
#43. ViSenze
Location: United States, China, Ireland, and Singapore
Founders: Oliver Tan, Tat-Seng Chua, Roger Yuen, Li Guangda
ViSenze is the best artificial intelligence company. The company is offering artificial intelligence based visual search and image recognition solutions. These AI solutions help online retailers to efficiently engage their clients, improve conversion rates, and boost sales. Like ViSenze, USM Business Systems is also engaged in delivering Artificial Intelligence solutions and services for both online and offline retailers. Our AI-powered mobile apps help you generate more leads. Know more about Artificial Intelligence Services & Solutions
#44 X.ai
The company is develops developed a visual assistant, AMY. It helps the users to manage their scheduled meetings. For instance, in case you received a meeting request, but don’t have enough time to manage timings, copy AMY onto the email, and then she only handles everything. With the help of machine learning and natural language processing techniques, AMY schedules the best location and time for your meeting based upon your provided preferences and schedule.
#45 Zebra Medical Vision
Location: Israel
Founders: Elad Benjamin, Eyal Gura, Eyal Toledano
Zebra Medical Vision strives to transform patient care using the power of artificial intelligence. It is an Israel based company that uses deep learning for radiology. Using many medical images, Zebra Medical Systems can accurately predict diseases.
#46 H20.ai
H2O.ai is located in Moutain View, California, USA. The company is the developer of H2O, an open source platform for machine learning and data science, used by hundreds of companies around the world.
This firm supplies organizations with machine learning and predictive analytics tools from several industries that help solve complex business challenges.
#47 Vicarious
Vicarious develop Artificial General Intelligence (AGI) robots which are based on the computational concepts of the human beings brain. The organization, which ultimately has a mission to build machines that simplifies the tasks of human. Located in San Francisco, California, Vicarious has associated with the famous tech titans such as Elon Musk, Jeff Bezos, and Mark Zuckerberg.
#48 SoundHound
Soundhound Inc. is located in Santa Clara, California and is completely about audio. It offers a wide range of solutions that uses speech and voice intelligence. The firm’s namesake product will allow customers to recognize songs, plays music and amazingly, answer music-based questions.
#49 Zimmergen
California based popular AI company called ‘Zimmergen’ is using automation, genetics, and machine learning to accelerate the progress of science. The company, which spans the agriculture, chemical industries and pharmaceutical, allows microbes to proliferate through automation software and a massive inventory of digital and physical DNA data.
#50 Zoox
Zoox was established Foster City, California in July 2014. Zook is developing advanced mobility solutions to support urban areas requirements. The organization, which builds their vehicles from the ground rather than fitting technology to existing cars, currently owns self-driving cars throughout the San Francisco area.
Conclusion
These are a few of the global largest AI companies. Now, it’s your turn. Start investing in Artificial Intelligence and transform your business into this advanced technology.
At USM, with vast experience and best practices on using AI and its technologies, deliver high-level AI apps and solutions. Let us know your business need, we get back to you today. Connect now!
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| 2025-03-03T00:00:00 |
2025/03/03
|
https://usmsystems.com/top-ai-companies-list/
|
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Should you work at a frontier AI company? - Career review
|
Should you work at a frontier AI company?
|
https://80000hours.org
|
[
"Arden Koehler",
"The Hours Team"
] |
We suggest working at frontier AI companies in several of our career reviews because a lot of important safety, governance, and security work is done in them.
|
Should you work at a frontier AI company? By and · Last updated August 2024 · First published June 2023 ·
In a nutshell: If you want to help reduce catastrophic risks from AI, working at a frontier AI company is an important option to consider, but the impact is hard to assess. These roles often come with great potential for career growth, and many could be (or lead to) highly impactful ways of reducing the chances of an AI-related catastrophe. However, there’s also a risk of doing substantial harm, and there are roles you should probably avoid. Pros Some roles have high potential for a big positive impact via reducing risks from AI
Among the best and most robust ways to gain AI-specific career capital
Highly compensated and prestigious Cons Risk of contributing to or accelerating AI systems that could cause extreme harm
Financial and social incentives might make it harder to think objectively about risks
Stress, especially because of a need to carefully and repeatedly assess whether your role is harmful
Recommendation: it's complicated We think there are people in our audience for whom working in a role at a frontier AI company is their highest-impact option. But some of these roles might also be extremely harmful. This means it's important to be discerning and vigilant when thinking about taking a role at a frontier AI company — both about the role and the company overall — and to actually be willing to leave if you end up thinking the work is harmful. Review status Based on an in-depth investigation This review is informed by three surveys of people we regard as having expertise: one survey on whether you should be open to roles that advance AI capabilities (written up here), and two followup surveys conducted over the past two years. It's likely there are still gaps in our understanding, as many of these considerations remain highly debated. The domain is also fast moving, so this article may become outdated quickly. This article was originally published in June 2023. It was substantially updated in August 2024 to reflect more recent developments and thinking.
We think AI is likely to have transformative effects over the coming decades, and that reducing the chances of an AI-related catastrophe is one of the world’s most pressing problems.
So it’s natural to wonder whether you should try to work at one of the companies that are doing the most to build and shape these future AI systems.
As of summer 2024, OpenAI, Google DeepMind, Meta, and Anthropic seem to be the leading frontier AI companies — meaning they have produced the most capable models so far and seem likely to continue doing so. Mistral, and xAI are contenders as well — and others may enter the industry from here.
Why might it be high impact to work for a frontier AI company?
Some roles at these companies might be among the best for reducing risks
We suggest working at frontier AI companies in several of our career reviews because a lot of important safety, governance, and security work is done in them.
In these reviews, we highlight:
These roles are aimed at some of the biggest issues increasing catastrophic risks from AI: the lack of scalable enough approaches for aligning powerful AI systems, governance and policy structures (both inside and outside companies) that could fail to contain risks, and the vulnerability of increasingly powerful AI systems to theft and misuse. Importantly, because some roles specifically target these issues, we think you can do risk-reducing work in them even if the company you’re working for overall is making things more dangerous.
Moreover, because frontier AI companies are where so much AI work is being done right now — on the models themselves, processes, and safety research — the resources available to you there might help you do much better work. For example, from inside one of these companies, you might have access to stronger models, more compute, more experimental infrastructure, more information, and stronger collaborators for safety research than you would if you were on the outside. And if you’re working on processes and policies to improve safety, you’ll have more access to the people and systems that you’re designing those processes and policies for. In many cases, it seems like this will make your work better and more effective.
These roles can also be very hard to hire for, because they require a lot of skill, sometimes many years of experience, and a thorough and nuanced understanding of the risk landscape and the technology.
All in all, we think that if you’re a good fit, some of these roles are probably among the highest-impact jobs out there.
A frontier AI company could be a huge force for good
We’ll talk below about how frontier AI companies might contribute to an AI-related catastrophe. But it’s also possible that a responsible frontier AI company could be crucial to preventing an AI-related catastrophe. It could, for example:
(Read about what AI companies can do to reduce risks).
These actions require, or are made more effective by, being on the cutting edge. This means that to successfully be a force for good in these ways, a frontier AI company needs to balance the continued development of powerful AI (including possibly retaining a leadership position) with appropriately prioritising actions that reduce the risk overall.
This tightrope seems difficult to walk. But if a company is responsible enough to manage it, and successfully acts as a huge force for good, then boosting them generally would be very helpful — even if your role is not specifically focused on reducing catastrophic risks.
We give a few brief thoughts on which companies appear to be acting responsibly below, but ultimately, if you’re considering working for a frontier AI company, you should investigate for yourself and decide if you trust the company’s actions and leadership enough to want to help it succeed.
It’s also worth noting that it might be possible to help a company walk this tightrope better as an employee by generally becoming part of the organisation’s ‘conscience,’ especially if the company is on the smaller side. If you see something really harmful occurring, you can consider organising internal complaints, whistleblowing, or even resigning (as some safety-focused OpenAI employees did in spring 2024). In many cases, this probably won’t make a difference (or could backfire), but by taking these issues seriously yourself and discussing them with your colleagues, you might be able to help foster a culture that values safety, responsibility, and cooperative relationships with other actors and the public.
Wanting to influence the culture or decision making of a frontier AI company probably shouldn’t be a big reason you take a role there — but it can be a bonus if you plan to have a positive impact in other ways as well.
It could be very good career capital (though there may also be career capital downsides)
Frontier AI companies are (perhaps obviously) among the best places in the world to learn about AI technology, its trajectory, and the overall industry. These companies are where state-of-the-art models are being developed, and they employ many of the people who will most influence how AI plays out.
Working at a frontier AI company might also help you gain a much better understanding of risks from AI specifically, because it puts you on the front lines. It’s much easier to grasp the power, weaknesses, and vulnerabilities of AI systems, as well as the social structures and dynamics that drive and constrain the work of frontier companies, if you’re working with them closely.
Frontier AI companies are also just high-performing, rapidly growing organisations. In general, one of the best ways to gain career capital is to work with any high-performing team — you can just learn a huge amount that way about getting stuff done, form valuable connections, and gain an impressive credential.
We think that career capital like this can be a very big deal, especially if you’re relatively early in your career or switching careers. In fact, career capital can be even more important than direct impact when you’re just getting started, because the direct impact of your work is likely much lower in a junior role, and you will have more time to make use of the career capital you gain.
But there might also be some career capital downsides to working at a frontier AI company.
In general, your character, attitudes, and beliefs are shaped by the jobs you take and the company you keep, and they matter a lot for your long-term impact. This is why we list character as a component of career capital.
Some people we spoke to while preparing this article warned against working at frontier AI companies due to the risk of changing your mind, not for reasons you would endorse, but simply because of the influence of those around you. Our impression is that leading companies are at least somewhat concerned about risks, which makes it unlikely you’ll do a total 180 on your views — but we still think this should be taken into account in any decision you make.
Of course, your coworkers might change your mind with good arguments too, so it’s possible your beliefs could improve. But if you’re going in thinking that the company doesn’t take AI risk seriously enough — and we think many of our readers will — you should be aware of the possibility of the environment you’ll be working in leading you to take the risks less seriously too, in part due to social factors. If you’re currently right about the company not taking the risks seriously enough, that’s probably a bad thing.
Also, working at these companies might create a conflict of interest for you or otherwise constrain your actions after you leave the role.
For example, prior to May 2024, OpenAI used financial incentives to get employees to sign non-disparagement agreements upon leaving. These prevented employees from criticising the company’s actions and from acknowledging the non-disparagement agreements’ existence until a public outcry caused OpenAI to stop the practice. It seems possible that even now, after this particular practice has ended, a frontier AI company could pressure you to not take actions that would go against its interests, including after you leave the job.
Also, some future employers that particularly value independence — such as governments or independent third-party evaluators — might be concerned about your history, especially if you still have a financial stake in the company, which will probably be part of your compensation package.
Finally, compensation at these companies is often high enough, especially for technical talent, that some people find it hard to decide to leave. And there is often a compensation structure that rewards you for staying longer, at least for the first few years. This is obviously a big plus financially, and might also allow you to have more impact depending on how you use the money (for example, you could donate a lot of it). But in practice some people experience this as a constraint that causes them to not leave as soon as they think they should — hence the term “golden handcuffs.”
Overall, we think that for many people the career capital from working at a frontier AI company is among the best they can get for working in AI safety, despite these downsides. That said, there are a lot of alternative roles where you can also gain valuable experience and connections in the field, as well as do impactful work.
What’s the case against working at a frontier AI company?
You might increase the risk of an AI-related catastrophe
The main reason not to work at a frontier AI company is that you might increase the risk of an AI-related catastrophe, by reducing the amount of time we have to decrease risks or by directly contributing to building dangerous systems (or both).
The leading frontier AI companies are all directly aimed at creating highly powerful, general artificial intelligence, and it seems plausible that they could succeed fairly soon (potentially in the next few decades). Moreover, because they face competition, they have incentives to move as quickly as they can.
Our view is that these powerful, general systems would pose very substantial risks, even though they might also be used to achieve a lot of good if the risks are avoided.
The overwhelming majority of roles at frontier AI companies seem likely to accelerate progress towards the goal of building the systems these companies are aiming at — either directly through research and engineering, or indirectly via activities like promoting products, trying to attract investors, or just generally making the company more successful.
So if you work in one of these roles, a large effect of your work — maybe the main effect — will be increasing this acceleration, giving everyone less time to mitigate risks, and so potentially making things worse.
We think this simple argument is very powerful, and a big reason against working in these companies.
However, there are also a lot of caveats we think are important here.
First, roles aimed directly at decreasing catastrophic risks like the ones we highlighted above seem less likely than most roles at these companies to accelerate progress toward transformative AI. Some seem like they could even decrease acceleration.
And when the roles we highlighted do add to acceleration, we think they often have larger risk-reducing effects. Take AI alignment research, which might accelerate progress toward transformative AI, because systems are much more useful if they do what people want them to do, and more useful models are more likely to be adopted and built upon. For example, the invention of reinforcement learning from human feedback has been helpful for controlling models and is widely considered an alignment technique. It has also arguably sped up the field in general, and so reduced the time we have to more fully mitigate risks. But we’d guess a lot of alignment research is still risk-reducing on net, even when it also accelerates AI as a field. (Though it’s also very controversial which alignment research has been risk-reducing vs risk-increasing overall.)
Second, even with research and engineering work that specifically focuses on increasing the capabilities of AI models, there are big differences in how much the work will help accelerate the creation of transformative AI.
Our impression is that scaling up foundation models, i.e. creating larger models that use more compute and are trained on more data, is likely to contribute the most to acceleration toward transformative AI. Increasing scale massively has driven much of the progress in model performance in recent years, and some people believe further scaling represents the shortest path to transformatively powerful AI. Improving model architectures, other algorithmic improvements, and increasing data quality might also play substantial roles.
On the other hand, work that happens post-training, such as fine-tuning and creating applications, is generally seen as less likely to directly contribute to acceleration toward transformative AI. This is because the performance of the next generation of models will be driven more by greater scale, better data, and algorithmic improvements. (That said, post-training enhancements do contribute to performance and making good products, which increases investment, which in turn can be used to drive faster fundamental progress.)
Finally, accelerating progress isn’t quite the same thing as just reducing the time we have to do safety work while holding everything else equal. Accelerating progress also has other effects, some of which might reduce risks.
In particular, it’s possible that the later we develop transformative AI, the faster (and therefore more dangerously) everything will play out, because other currently-constraining factors, such as the amount of compute available in the world, could continue to grow independently of other progress. Slowing down advances now could increase the rate of development in the future, when we’re much closer to being able to build transformative AI systems. This would give the world less time to adapt to and conduct safety research with models that are very similar to ones we should be concerned about but aren’t dangerous themselves. (When this is caused by a growth in the amount of compute, the scenario is often referred to as a hardware overhang.)
Finally, it’s possible that an unusually responsible AI company (or coalition) moving faster could reduce the risk of less cautious AI projects entering the field and causing problems. If this is right, boosting the unusually responsible frontier AI company would be beneficial even when it reduces total time to transformative AI. (Though you’d have to think there is a particularly responsible AI company for this reasoning to apply.)
We think these nuances are important. Overall, we think the rule of thumb don’t do work where a primary effect is to accelerate progress to transformative AI is pretty reasonable while we haven’t yet figured out how to create transformative AI safely, and it applies in many cases. But our view is that it isn’t always decisive, and there are cases where the risk-reducing effects of your work likely outweigh the risk-increasing effects. Whether you’re in one of those cases will depend on lots of considerations, some of which we discuss later in this article (like the type of role and how responsible the company is overall), as well as more individual factors like the particular research you’re doing and how widely it’s shared.
Some people disagree with this and would think that it’s never OK to do work that contributes to accelerating AI progress while we don’t have a plan to make it safe. If you think this, you might also favour a ‘pause’ on advancing AI while the world develops such a plan. See the arguments for a pause here.
It does seem worth emphasising that, ultimately, one of these frontier AI companies could produce a system that causes an existential catastrophe. If you work there, you might contribute to that. That in itself is a strong reason to be very careful.
Does replaceability mean this doesn’t matter? We’ve heard the argument that because so many people apply to work at AI companies, even if you end up doing work that’s a bit harmful overall it won’t make a real difference, because someone else would have done it anyway. We think this argument isn’t that strong. While hiring rounds don’t perfectly select for performance, being offered a role is still a reason to believe you’ll do the work better than the next person they would have hired. If the work is harmful, that’s a bad thing. The high salaries and fast hiring at these companies also suggest that talent is a substantial bottleneck for them. At a basic level, increasing the supply of talent to the company will increase the amount of work that gets done, and replaceability is usually too hard to model to be considered as an important factor anyway. Also, if you actually believe the work you’d do would be harmful overall, then even if it’s true that it would get done either way, there’s a strong common-sense moral case for avoiding doing it yourself.
There are great alternatives that lack many of the downsides
There are many more promising ways to contribute to reducing catastrophic risks from AI outside frontier AI companies than there used to be, such as through government institutes, nonprofit research organisations, and academic groups.
These often also present good career capital opportunities, meaning you don’t have to work at a frontier AI company to gain credibility, skills, and connections in AI safety.
This isn’t to say that you can always do work that’s just as effective outside a frontier AI company as you would be able to do within it — as we discussed above, frontier companies’ control over and access to the technology give them a lot of advantages for doing high-impact work. But the field has grown a lot in the last few years, and there are many other places to work where you can also make a big positive difference while running less risk of doing harm or changing your values and views in ways you wouldn’t endorse.
See some ideas below.
Things to consider for your particular case
It’s complicated to assess overall whether it’s good to work at a frontier AI company, not least because whether it’s a good idea will vary from person to person, and from role to role.
Here are some considerations you can use to assess your particular situation.
(You can also speak to us one-on-one for free about your options, and we can help introduce you to others working in AI safety. If you’re considering taking a job at an AI company, we think it’s probably worth discussing the choice with others for more personalised advice.)
There are very different kinds of roles
As we outlined above, there are roles at AI companies aimed specifically at reducing the chance of a catastrophic outcome from AI. These often seem like really good opportunities for impact.
But for the vast majority of jobs at frontier AI companies, their main effect is to boost the success of the company generally and to accelerate progress toward transformative AI systems.
These jobs include technical research and engineering roles focused on making more powerful models (for example, via scaling, architectural improvements, optimiser improvements, or improved hardware), as well as roles in business, product, marketing, design, communications, fundraising, HR, sales, and operations.
We’d recommend steering clear of these roles unless you trust the leadership and structures at a frontier AI company enough to feel awesome about them being a force for good.
Some companies are probably much more responsible than others
Whether your work will be harmful or beneficial might depend a lot on how responsible the company you work at is overall, as well as how good their plans are for making their systems safe.
Not only is an irresponsible or misguided company more likely to produce a dangerous system, but it can also normalise disregard for governance, standards, and security across the industry, causing secondary harm.
This is important to consider, particularly if the positive impact of the role you’re considering depends on the company’s overall direction, which is more likely for roles outside the specifically targeted roles we highlighted at the beginning of this article. For example, we’d guess that securing powerful systems is beneficial regardless of how responsible the company is overall, but that working in communications very much isn’t.
But it’s not necessarily easy to know how positive you should be on a given company’s plans and leadership.
Among the four leading frontier labs, OpenAI, Anthropic, and to some extent Google DeepMind have all expressed concern about catastrophic and even existential risks from AI, created policies aimed at reducing risks, and have internal teams focused on research into AI alignment and other ways to further safety.
On the other hand, Meta has not. The Chief AI Scientist at Meta, Yann LeCun, is also a vocal and prominent sceptic of AI safety.
As a rule of thumb, if you are trying to reduce catastrophic or existential risks from AI, it seems much better to work for a company that acknowledges the risks you are concerned about and has teams to address them than one that doesn’t.
Among the labs that do publicly prioritise AI safety, it’s worth being aware of concerns raised about OpenAI due to recent events:
In general, we’d expect a lot of variation in how seriously companies take catastrophic risks, because the arguments for doing so aren’t universally accepted, and the tradeoffs companies make will be influenced by the views of employees and especially leadership.
That said, all these companies face the same huge commercial pressure to develop more and more powerful AI, quickly — and their social impact missions are dependent on them doing so. This will push their behaviour closer together.
If you are thinking about working at one of these companies, you should seriously ask yourself whether you buy the statements and arguments they make about safety. Your managers and other employees at the company will be excited to tell you all about the positive impact of the work. Most will be being honest, but they are selected for their belief in the company’s decisions, so listening to them without question is likely to give you a biased picture.
As much as you can, look for credible signs of the company’s plans and mission, such as big expenditures, corporate deals, and other costly investments, and not just company statements or what people working at the company think.
We also recommend checking out AI Lab Watch to compare the safety-relevant public behaviours of AI companies. AI Lab Watch continually assesses frontier AI companies’ behaviour on several criteria including how well they appear able to assess the riskiness of their models, and internal governance structures.
At the time of this writing, AI Lab Watch gives Anthropic the highest “overall score” on avoiding extreme risks from AI of all the frontier companies, followed by OpenAI and then DeepMind, with Meta and Microsoft far behind.
The broader AI safety community can also help you reason through some of these questions, and provide you with a firehose of news, impressions, and discussion that is hard to summarise here.
It matters who you are
Putting aside differences between roles and companies, there’s an additional question of whether it’s a good idea for you to work at one of these companies.
In general, we think you’ll be a better fit and make a more positive difference working at an AI company if:
You have an excellent understanding of risks from AI.
You are vigilant and inclined to question and think for yourself about the impact of your work.
You can follow tight security practices. AI companies sometimes deal with sensitive information that needs to be handled responsibly.
You are able to keep your options open — that is, you are financially and psychologically prepared to leave if it starts to seem like the right idea.
You have good social skills (if the positive impact of your role comes from being able to persuade others to make better decisions).
You’re less sensitive than average to incentives and social pressure, so you can stick to your principles and change your beliefs based on good arguments.
How can you reduce the downsides of working at a frontier AI company?
If you do take a role at a frontier AI company, here are some things you can do to mitigate the downsides:
Continue to engage with the broader safety community. To reduce the chance that your opinions or values will drift just because of the people you’re socialising with, try to find a way to spend time with people who share your values and who are actively trying to have accurate beliefs about the risks. For example, if you’re a researcher or engineer, you may be able to spend some of your working time with a safety-focused research group. In general, keep friends outside your company — don’t get into a situation where the incomes of the only people you ever talk to depend on the company succeeding.
To reduce the chance that your opinions or values will drift just because of the people you’re socialising with, try to find a way to spend time with people who share your values and who are actively trying to have accurate beliefs about the risks. For example, if you’re a researcher or engineer, you may be able to spend some of your working time with a safety-focused research group. In general, keep friends outside your company — don’t get into a situation where the incomes of the only people you ever talk to depend on the company succeeding. Be an employee who pays attention. Take the time to think carefully about the work you’re doing, e.g. whether it’ll lead to harmful hype. If something makes you uncomfortable, consider speaking up about it if you’re in a position to. You’ll need good social skills to navigate this effectively though, and you should probably pick your battles to focus on the most important issues, as some things you could do here might hurt your ability to advance in the company. Also, make sure that you notice and take action if your role is changed so that it’s no longer having the effect you wanted, or if you’re being guided to a new role that seems harmful to you. (For example, we’ve heard of companies suggesting to people who’ve applied for roles aimed at reducing catastrophic risks that they try out for other roles during the application process.)
Take the time to think carefully about the work you’re doing, e.g. whether it’ll lead to harmful hype. If something makes you uncomfortable, consider speaking up about it if you’re in a position to. You’ll need good social skills to navigate this effectively though, and you should probably pick your battles to focus on the most important issues, as some things you could do here might hurt your ability to advance in the company. Also, make sure that you notice and take action if your role is changed so that it’s no longer having the effect you wanted, or if you’re being guided to a new role that seems harmful to you. (For example, we’ve heard of companies suggesting to people who’ve applied for roles aimed at reducing catastrophic risks that they try out for other roles during the application process.) Be ready to quit. Avoid being in a financial or psychological situation where it’s just going to be really hard for you to switch jobs into something more clearly focused on doing good, if that ends up being the right thing. Instead, constantly ask yourself whether you’d be able to make that switch, and whether you’re making decisions that could make it harder to do so in the future. This also means keeping financial resources and intellectual influences outside the company.
In general, our top piece of advice would be to keep in close contact with people who are also focused on reducing catastrophic risks from AI and who can help you get perspective and make difficult decisions. This can help you think through things so that you stay if you should stay, leave if you should leave, or change the nature of your work if you need to.
Where might you work instead?
There are many promising opportunities to reduce AI risk that could be as good or better than working at frontier AI companies in some circumstances, and which generally have fewer of the downsides we’ve discussed.
Some top options:
Keep in mind that you can also learn many relevant skills via education (e.g. a bootcamp or a degree), and in roles that have nothing to do with AI, like software engineering at a large tech firm. See our technical AI safety career review and our AI governance and policy career review for more.
Want one-on-one advice on pursuing this path? If you think this path might be a great option for you, but you need help deciding or thinking about what to do next, our team might be able to help. We can help you compare options, make connections, and possibly even help you find jobs or funding opportunities. APPLY TO SPEAK WITH OUR TEAM
Explore jobs
If you’ve considered all the above and you’re ready to start looking at some job opportunities in frontier AI companies, see our list:
View all opportunities
Learn more about working at AI companies
Learn more about making career decisions where there’s a risk of harm:
Relevant career reviews (for more specific and practical advice):
Podcast episodes:
Acknowledgements
Thanks to Benjamin Hilton, Benjamin Todd, Jonas Vollmer, Rohin Shah, Zach Stein-Perlman, and the 80,000 Hours team for helpful feedback on this piece. And thanks to Benjamin Hilton for writing the previous version of this article.
| 2022-12-01T00:00:00 |
https://80000hours.org/career-reviews/working-at-an-ai-lab/
|
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|
The Top AI Roles Companies Are Hiring For - Nelson Connects
|
The Top AI Roles Companies Are Hiring For
|
https://www.nelsonconnects.com
|
[] |
As companies race to stay competitive, demand for specialized AI talent is skyrocketing. At Nelson Connects, we're seeing this trend play out ...
|
Artificial Intelligence (AI) is no longer a future vision—it’s here, and it’s transforming every industry it touches. From personalized customer experiences to real-time analytics and workflow automation, AI is driving innovation and reshaping the workforce. As companies race to stay competitive, demand for specialized AI talent is skyrocketing.
At Nelson Connects, we’re seeing this trend play out across every sector we serve—technology, finance, healthcare, logistics, and beyond. Whether you're a business looking to hire smarter or a professional exploring where your skills fit in the AI landscape, understanding the roles leading the charge is essential.
Here’s a look at some of the most in-demand AI roles shaping the future of work.
1. AI/ML Engineer
AI/ML Engineers are at the forefront of AI innovation. These professionals design and deploy machine learning models that allow systems to learn from and act on data. Their work involves complex algorithm design, processing large datasets, and integrating AI systems into business operations.
Why It’s in Demand: As AI becomes central to everything from fraud detection to customer personalization, companies need technical experts who can build and scale these systems effectively.
Key Skills:
Python, R, Java
Machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
Data engineering, model deployment, and algorithm development
Cloud platforms (AWS, Azure, GCP)
2. Data Scientist
Data Scientists play a pivotal role in extracting actionable insights from raw data. They apply advanced statistical techniques and machine learning algorithms to support decision-making and uncover patterns that drive business outcomes.
Why It’s in Demand: With businesses becoming more data-centric, the ability to turn massive datasets into strategic insights is more valuable than ever—especially in industries like healthcare, retail, and finance.
Key Skills:
Python, R, SQL
Data wrangling and visualization (Pandas, NumPy, Tableau, Power BI)
Machine learning, predictive analytics
Big data tools (Spark, Hadoop)
3. AI Product Manager
AI Product Managers serve as the critical bridge between technical teams and business stakeholders. They define the vision, strategy, and roadmap for AI-powered products, ensuring development efforts align with organizational goals.
Why It’s in Demand: Companies increasingly need leaders who not only understand AI technologies but can also translate them into successful, scalable solutions that meet customer and business needs.
Key Skills:
Product lifecycle management
Understanding of AI/ML capabilities and limitations
Competitive market analysis
Agile methodologies and stakeholder management
4. AI Project Manager
AI Project Managers oversee the successful execution of complex AI initiatives. From managing cross-functional teams to mitigating risks and staying on budget, they ensure projects move forward efficiently and deliver real results.
Why It’s in Demand: The technical complexity and cross-departmental nature of AI initiatives make this role essential. Businesses want project leaders who understand both the strategy and the science behind AI.
Key Skills:
Project management tools (Jira, Asana, MS Project)
Cross-functional team leadership
AI project scoping and risk assessment
Budgeting and timeline planning
5. Prompt Engineer / Generative AI Specialist
As generative AI tools like ChatGPT and DALL·E go mainstream, Prompt Engineers are emerging as specialists who craft effective prompts that guide these models. This role blends creativity, logic, and language to maximize performance from large language models (LLMs).
Why It’s in Demand: More businesses are integrating generative AI into customer service, content creation, product development, and internal tools—and skilled prompt engineers are key to unlocking full potential.
Key Skills:
Natural language processing (NLP)
Prompt engineering and prompt tuning
Familiarity with LLM APIs (OpenAI, Anthropic, Cohere)
Critical thinking and iterative experimentation
6. AI Solutions Architect
AI Solutions Architects design the technical frameworks for scalable AI systems. They evaluate business needs, choose appropriate technologies, and oversee implementation across cloud and enterprise environments.
Why It’s in Demand: As organizations invest in long-term AI infrastructure, they need professionals who can architect robust, flexible, and secure systems from the ground up.
Key Skills:
Systems architecture and API design
AI/ML platforms (SageMaker, Vertex AI)
Data pipelines and ETL processes
Cloud infrastructure (AWS, GCP, Azure)
7. AI/ML Ethicist
Responsible AI is now a business imperative. AI/ML Ethicists ensure AI systems are transparent, fair, and accountable, especially in industries that face regulatory oversight or public scrutiny.
Why It’s in Demand: As businesses expand AI use, the risk of bias, misuse, or unintended consequences grows. AI ethicists help navigate these challenges and ensure compliance and trust.
Key Skills:
AI ethics frameworks (OECD, IEEE, EU AI Act)
Bias detection and fairness analysis
Governance and compliance documentation
Communication and policy-making
The Future of AI Hiring
The AI job market is booming—and it's not slowing down. Whether you're a developer, analyst, project manager, or strategic thinker, there’s a growing need for your skills in the world of AI. For employers, now is the time to assess your workforce, upskill existing talent, and partner with experts who understand how to recruit for the future.
Partner with Nelson Connects
At Nelson Connects, our technology and professional staffing teams understand the AI landscape because we’re working in it every day. We can help you build high-performing teams that include AI, data, and automation experts, and we help candidates navigate their next big opportunity in this exciting space.
👉 Explore the AI talent market and view open roles here: www.nelsonconnects.com.
| 2022-12-01T00:00:00 |
https://www.nelsonconnects.com/learning-center/blogs/the-top-ai-roles-companies-are-hiring-for?hsLang=en
|
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|
Top San Francisco Bay Area, CA AI Companies 2025 | Built In
|
Top San Francisco Bay Area, CA AI Companies 2025
|
https://www.builtinsf.com
|
[] |
Top San Francisco Bay Area, CA AI Companies (968) · John Deere · PwC · GRAIL · Maxar Technologies · Rokt · Gynger · Voltage Park · Dropbox. Artificial ...
|
Artificial Intelligence
Mountain View, California, USA 37 Employees
Granica is an AI research and systems company helping enterprises leverage AI efficiently and safely. Our mission is to make AI 10,000x better. We believe data is the first-mile problem to solve in this mission. Our first system is a novel training data platform for enterprise AI that unlocks efficiency and privacy through our flagship services tailored for Generative and Traditional AI: Granica Crunch is a family of advanced data compression/reduction models which enable AI/ML teams to add and use more data to improve their ML accuracy and performance while controlling their infrastructure costs. Crunch delivers deep cost efficiencies for data at any scale, at rest and in use. Granica Screen is an advanced data privacy-enhancing service that unlocks even more data for AI/ML teams to safely improve model performance. It guarantees state-of-the-art privacy at scale, enabling Private LLMs and Privacy-preserving AI. Granica Chronicle is a deep data visibility service for disparate AI data stores. Enabling unification, collaboration and insights into data usage for AI and ML. Our research is deeply rooted in information science, machine intelligence, computer vision, natural language, and distributed systems, with a special emphasis on elevating the efficiency and safety of AI systems through fundamental and innovative research. We're backed by remarkable institutional investors in AI, Data, and Cloud; and several industry luminaries in business and technology
| 2022-12-01T00:00:00 |
https://www.builtinsf.com/companies/type/artificial-intelligence-companies
|
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|
Top 25 AI Companies in USA - Privately Held US Innovators ...
|
Privately Held US Innovators Leading the Market
|
https://www.sourcescrub.com
|
[] |
Discover the top privately held AI companies in the U.S. and see how they drive innovation in this dynamic tech landscape.
|
Exploring the landscape of artificial intelligence in the United States reveals how dynamic and competitive the field has become. Some of the top privately held AI companies drive major advancements in technology and impact various sectors from healthcare to finance. Innovation in machine learning and software by these startups is not just transforming industries, but also capturing significant investment interest.
In the last few years, we have seen substantial growth in the value and influence of American AI companies. Leading firms are pushing the boundaries of what's possible with artificial intelligence. For example, they are developing cutting-edge solutions that can analyze vast amounts of data quickly and efficiently. This rapid evolution is a testament to the strong tech economy in the United States.
Private investment and interest in AI startups have reached new heights. Companies working on the latest AI technologies are securing large funding rounds and increasing their valuations. This trend shows a robust confidence in the potential and longevity of AI-driven innovations within the tech community.
Key Takeaways
Top privately held AI companies in the U.S. are leading in innovation.
The American tech economy is strongly influenced by advancements in AI.
AI startups are seeing significant investment and valuation growth.
The 25 Largest Privately Held AI Companies Leading the USA Market
Find more private companies in this sector or one of your choice. Reach out to our team today for a free custom list of private companies — Submit a Request.
1. Extensity
Informal Name: Infor
Infor Founding Year: 2002
2002 City: New York City
New York City State: NY
NY Website: http://extensity.com
http://extensity.com Description: Infor, Inc. is a provider of enterprise-level ERP solutions. The company provides enterprise-wide visibility, agility, and flexibility to collaborate across the business.
Infor, Inc. is a provider of enterprise-level ERP solutions. The company provides enterprise-wide visibility, agility, and flexibility to collaborate across the business. LinkedIn Account: https://www.linkedin.com/company/infor
https://www.linkedin.com/company/infor Employee Count: 20,606
20,606 Latest Estimated Revenue Min: $4,875,000
$4,875,000 Latest Estimated Revenue Max: $97,500,000
2. SAS Institute, Inc. (SAS)
Informal Name: SAS
SAS Founding Year: 1976
1976 City: Cary
Cary State: NC
NC Website: https://www.sas.com
https://www.sas.com Description: SAS Institute, Inc. (SAS) is a software development company. It provides business intelligence and data management software services, including analytics solutions, artificial intelligence, machine learning, cloud computing, data management, decisioning, fraud and security intelligence, internet of things, marketing analytics, operationalizing analytics, and risk management. It offers its services to the private and public sectors.
SAS Institute, Inc. (SAS) is a software development company. It provides business intelligence and data management software services, including analytics solutions, artificial intelligence, machine learning, cloud computing, data management, decisioning, fraud and security intelligence, internet of things, marketing analytics, operationalizing analytics, and risk management. It offers its services to the private and public sectors. LinkedIn Account: https://www.linkedin.com/company/sas
https://www.linkedin.com/company/sas Employee Count: 16,850
16,850 3 Months Growth Rate: 2.04%
2.04% Latest Estimated Revenue Min: $2,175,000
$2,175,000 Latest Estimated Revenue Max: $43,500,000
3. ZS Associates, Inc.
Informal Name: ZS Associates
ZS Associates Founding Year: 1983
1983 City: Evanston
Evanston State: IL
IL Website: https://www.zs.com
https://www.zs.com Description: ZS Associates, Inc. is a management consulting and technology company. It offers AI and analytics, digital and technology, life sciences research and development, marketing, sales, supply chain, and other solutions. The company serves financial services, pharmaceuticals, travel, telecommunications, consumer goods, and other industries.
ZS Associates, Inc. is a management consulting and technology company. It offers AI and analytics, digital and technology, life sciences research and development, marketing, sales, supply chain, and other solutions. The company serves financial services, pharmaceuticals, travel, telecommunications, consumer goods, and other industries. LinkedIn Account: https://www.linkedin.com/company/zs-associates
https://www.linkedin.com/company/zs-associates Employee Count: 14,596
14,596 3 Months Growth Rate: 0.12%
0.12% Latest Estimated Revenue Min: $6,925,000
$6,925,000 Latest Estimated Revenue Max: $138,500,000
4. Infinite Computer Solutions, Inc.
Informal Name: Infinite Computer Solutions
Infinite Computer Solutions Founding Year: 2001
2001 City: Rockville
Rockville State: MD
MD Website: https://www.infinite.com
https://www.infinite.com Description: Infinite Computer Solutions, Inc. is an IT service and IT consulting company. It focuses on next-gen business technology solutions and product engineering services for healthcare, insurance, telecom, financial services, media and entertainment, and government. The company serves clients globally.
Infinite Computer Solutions, Inc. is an IT service and IT consulting company. It focuses on next-gen business technology solutions and product engineering services for healthcare, insurance, telecom, financial services, media and entertainment, and government. The company serves clients globally. LinkedIn Account: https://www.linkedin.com/company/infinite-computer-solutions
https://www.linkedin.com/company/infinite-computer-solutions Employee Count: 9,214
9,214 3 Months Growth Rate: 4.96%
4.96% Latest Estimated Revenue Min: $175,962,144
$175,962,144 Latest Estimated Revenue Max: $703,848,576
5. DFX Latam
Informal Name: DFX Latam
DFX Latam Founding Year: 2007
2007 City: Miami
Miami State: FL
FL Website: http://dfxlatam.com
http://dfxlatam.com Description: Founded on October 16, 2007, this startup specializes in web services, AI, software, and cloud solutions. They offer a wide range of services including business consultancy, software development, digital marketing, SEO, web programming, creative design, hosting, and domain registration. Known for their commitment to excellence, innovation, and customer service, they work closely with clients to deliver personalized solutions. Their expertise spans various sectors, from small businesses to large multinationals. With a reputation for quality and client satisfaction, they are a reliable partner for achieving business goals.
Founded on October 16, 2007, this startup specializes in web services, AI, software, and cloud solutions. They offer a wide range of services including business consultancy, software development, digital marketing, SEO, web programming, creative design, hosting, and domain registration. Known for their commitment to excellence, innovation, and customer service, they work closely with clients to deliver personalized solutions. Their expertise spans various sectors, from small businesses to large multinationals. With a reputation for quality and client satisfaction, they are a reliable partner for achieving business goals. LinkedIn Account: https://www.linkedin.com/company/dfx-digital-agency
https://www.linkedin.com/company/dfx-digital-agency Employee Count: 6,856
6,856 3 Months Growth Rate: -0.07%
-0.07% Latest Estimated Revenue Min: $5,262,129
$5,262,129 Latest Estimated Revenue Max: $105,242,580
6. Zendesk Ventures
Informal Name: Zendesk
Zendesk Founding Year: 2007
2007 City: San Francisco
San Francisco State: CA
CA Website: http://zendeskventures.com
http://zendeskventures.com Description: Zendesk Ventures invests in early to growth-stage private companies advancing the customer experience (CX), employee experience (EX), and Generative AI.
Zendesk Ventures invests in early to growth-stage private companies advancing the customer experience (CX), employee experience (EX), and Generative AI. LinkedIn Account: https://www.linkedin.com/company/zendesk
https://www.linkedin.com/company/zendesk Employee Count: 6,507
6,507 Latest Estimated Revenue Min: $6,225,000
$6,225,000 Latest Estimated Revenue Max: $124,500,000
7. CoreLab Partners
Informal Name: Clario
Clario Founding Year: 1972
1972 City: Philadelphia
Philadelphia State: PA
PA Website: http://corelabpartners.com
http://corelabpartners.com Description: Clario accelerates clinical trial from initiation to implementation. It has revolutionized clinical trial endpoint analyses with more than 30 AI-enabled solutions across 600+ active trials, enhancing data quality and patient privacy while expediting data collection processes.
Clario accelerates clinical trial from initiation to implementation. It has revolutionized clinical trial endpoint analyses with more than 30 AI-enabled solutions across 600+ active trials, enhancing data quality and patient privacy while expediting data collection processes. LinkedIn Account: https://www.linkedin.com/company/clario-inc
https://www.linkedin.com/company/clario-inc Employee Count: 6,427
6,427 Latest Estimated Revenue Min: $4,800,000
$4,800,000 Latest Estimated Revenue Max: $96,000,000
8. CES, Ltd.
Informal Name: CES
CES Founding Year: 1996
1996 City: Bolingbrook
Bolingbrook State: IL
IL Website: https://cesltd.com
https://cesltd.com Description: CES, Ltd. is an Information Technology (IT) and Business Process Management (BPM) company, which provides services that are tailor-made to each customer. The company engages and enhances its customer's needs by identifying the areas for improvement, providing state-of-the-art solutions, and deploying proven matured processes to support the current needs and future business growth. It also provides onsite and offshore delivery models and empowers its customers with the right decision-making prowess.
CES, Ltd. is an Information Technology (IT) and Business Process Management (BPM) company, which provides services that are tailor-made to each customer. The company engages and enhances its customer's needs by identifying the areas for improvement, providing state-of-the-art solutions, and deploying proven matured processes to support the current needs and future business growth. It also provides onsite and offshore delivery models and empowers its customers with the right decision-making prowess. LinkedIn Account: https://www.linkedin.com/company/ces
https://www.linkedin.com/company/ces Employee Count: 5,036
5,036 3 Months Growth Rate: 1.66%
1.66% Latest Estimated Revenue Min: $4,875,000
$4,875,000 Latest Estimated Revenue Max: $97,500,000
9. Tiger Analytics, LLC
Informal Name: Tiger Analytics
Tiger Analytics Founding Year: 2011
2011 City: Santa Clara
Santa Clara State: CA
CA Website: https://www.tigeranalytics.com
https://www.tigeranalytics.com Description: Tiger Analytics, LLC is a management consulting firm. It focuses on data analytics and predictive modeling in some areas such as retail, social media, and online advertising. The company develops bespoke solutions powered by data and technology. It offers data analytics and predictive modeling solutions for retail, social media, and online advertising sectors. Its services include strategy & advisory, analytics roadmap, data strategy, and platform strategy. It serves clients across CPG, retail, insurance, BFS, manufacturing, life sciences, and healthcare.
Tiger Analytics, LLC is a management consulting firm. It focuses on data analytics and predictive modeling in some areas such as retail, social media, and online advertising. The company develops bespoke solutions powered by data and technology. It offers data analytics and predictive modeling solutions for retail, social media, and online advertising sectors. Its services include strategy & advisory, analytics roadmap, data strategy, and platform strategy. It serves clients across CPG, retail, insurance, BFS, manufacturing, life sciences, and healthcare. LinkedIn Account: https://www.linkedin.com/company/tiger-analytics
https://www.linkedin.com/company/tiger-analytics Employee Count: 4,381
4,381 3 Months Growth Rate: 5.58%
5.58% Latest Estimated Revenue Min: $8,550,000
$8,550,000 Latest Estimated Revenue Max: $171,000,000
10. Jobot, Inc.
Informal Name: Jobot
Jobot Founding Year: 2018
2018 City: Newport Beach
Newport Beach State: CA
CA Website: https://jobot.com
https://jobot.com Description: Jobot, Inc. is a software and recruitment firm that operates on a national scale. It combines intelligent technology and experienced recruiters to work with both hiring companies and prospective candidates to find a positive cultural and skill set match for its clients.
Jobot, Inc. is a software and recruitment firm that operates on a national scale. It combines intelligent technology and experienced recruiters to work with both hiring companies and prospective candidates to find a positive cultural and skill set match for its clients. LinkedIn Account: https://www.linkedin.com/company/jobot
https://www.linkedin.com/company/jobot Employee Count: 3,957
3,957 3 Months Growth Rate: 5.43%
5.43% Latest Estimated Revenue Min: $5,000,000
$5,000,000 Latest Estimated Revenue Max: $100,000,000
11. Notary Public
Informal Name: Notary Public
Notary Public Founding Year: 1998
1998 City: Alemandra
Alemandra State: CA
CA Website: https://notorie.com
https://notorie.com Description: Notorie, Inc. is the world's first and foremost analytics platform dedicated to measuring the impact of Hip Hop Culture across Music, Sports, Film, and fashion to help marketers make better decisions. Its proprietary algorithm leverages AI, Data, and human-verified cultural insights to provide marketers with the unique data they need so they can reach the right Audience.
Notorie, Inc. is the world's first and foremost analytics platform dedicated to measuring the impact of Hip Hop Culture across Music, Sports, Film, and fashion to help marketers make better decisions. Its proprietary algorithm leverages AI, Data, and human-verified cultural insights to provide marketers with the unique data they need so they can reach the right Audience. LinkedIn Account: https://www.linkedin.com/company/notary-public
https://www.linkedin.com/company/notary-public Employee Count: 3,942
3,942 3 Months Growth Rate: 1.37%
1.37% Latest Estimated Revenue Min: $4,150,000
$4,150,000 Latest Estimated Revenue Max: $83,000,000
12. Impetus Technologies, Inc.
Informal Name: Impetus Technologies
Impetus Technologies Founding Year: 1996
1996 City: Los Gatos
Los Gatos State: CA
CA Website: https://www.impetus.com
https://www.impetus.com Description: Impetus Technologies, Inc. is an information service company. It offers cloud strategy and engineering, automation, data science consulting, AI implementation, and other services. The company provides its services to the airline, banking, financial services and insurance, education, healthcare, technology, and telecom industries.
Impetus Technologies, Inc. is an information service company. It offers cloud strategy and engineering, automation, data science consulting, AI implementation, and other services. The company provides its services to the airline, banking, financial services and insurance, education, healthcare, technology, and telecom industries. LinkedIn Account: https://www.linkedin.com/company/impetus
https://www.linkedin.com/company/impetus Employee Count: 3,887
3,887 3 Months Growth Rate: 2.03%
2.03% Latest Estimated Revenue Min: $7,850,000
$7,850,000 Latest Estimated Revenue Max: $157,000,000
13. Incedo, Inc.
Informal Name: Incedo
Incedo Founding Year: 2012
2012 City: Florham Park
Florham Park State: NJ
NJ Website: https://www.incedoinc.com
https://www.incedoinc.com Description: Incedo, Inc. is an information technology and service company that provides data and analytics, technology, and product engineering services. It offers data management, BI analytics, communication technology, mobile, and other services. The company's data management services also specialize in data collection, cleansing, consolidation, and governance to ensure consistency in the ongoing use and maintenance of data, and BI analytics provide multiple perspectives and visualizations utilizing various analytical tools and modeling techniques.
Incedo, Inc. is an information technology and service company that provides data and analytics, technology, and product engineering services. It offers data management, BI analytics, communication technology, mobile, and other services. The company's data management services also specialize in data collection, cleansing, consolidation, and governance to ensure consistency in the ongoing use and maintenance of data, and BI analytics provide multiple perspectives and visualizations utilizing various analytical tools and modeling techniques. LinkedIn Account: https://www.linkedin.com/company/incedo-inc
https://www.linkedin.com/company/incedo-inc Employee Count: 3,692
3,692 3 Months Growth Rate: 3.07%
3.07% Latest Estimated Revenue Min: $11,875,000
$11,875,000 Latest Estimated Revenue Max: $237,500,000
14. BairesDev, LLC
Informal Name: BairesDev
BairesDev Founding Year: 2009
2009 City: San Francisco
San Francisco State: CA
CA Website: https://www.bairesdev.com
https://www.bairesdev.com Description: BairesDev, LLC is a software company that provides architects and engineers with software solutions. The company also provides software outsourcing and consulting services. It offers and serves its services to its clients around the world.
BairesDev, LLC is a software company that provides architects and engineers with software solutions. The company also provides software outsourcing and consulting services. It offers and serves its services to its clients around the world. LinkedIn Account: https://www.linkedin.com/company/bairesdev
https://www.linkedin.com/company/bairesdev Employee Count: 3,099
3,099 3 Months Growth Rate: 2.07%
2.07% Latest Estimated Revenue Min: $4,875,000
$4,875,000 Latest Estimated Revenue Max: $97,500,000
15. Nityo Infotech Corp.
Informal Name: Nityo Infotech
Nityo Infotech Founding Year: 2006
2006 City: Plainsboro
Plainsboro State: NJ
NJ Website: https://www.nityo.com
https://www.nityo.com Description: Nityo Infotech Corp. is an Information Technology and Services company. Its services span from Application Management Outsourcing, Packaged Application Services, Remote Infrastructure Management, Product Development, and Support to higher value-added offerings, including Managed Platform and Product Engineering Services. The company serves the fastest-growing global IT Services and solutions.
Nityo Infotech Corp. is an Information Technology and Services company. Its services span from Application Management Outsourcing, Packaged Application Services, Remote Infrastructure Management, Product Development, and Support to higher value-added offerings, including Managed Platform and Product Engineering Services. The company serves the fastest-growing global IT Services and solutions. LinkedIn Account: https://www.linkedin.com/company/nityo-infotech-services
https://www.linkedin.com/company/nityo-infotech-services Employee Count: 3,084
3,084 3 Months Growth Rate: 1.29%
1.29% Latest Estimated Revenue Min: $123,909,278
$123,909,278 Latest Estimated Revenue Max: $206,515,464
16. Ascendion, Inc.
Informal Name: Ascendion
Ascendion Founding Year: 2022
2022 City: Basking Ridge
Basking Ridge State: NJ
NJ Website: https://ascendion.com
https://ascendion.com Description: Ascendion, Inc. is a technology, information, and internet company. It offers engineering, cloud, data, experience design, and talent solution capabilities to accelerate transformation. It serves its services for Global 2000 clients.
Ascendion, Inc. is a technology, information, and internet company. It offers engineering, cloud, data, experience design, and talent solution capabilities to accelerate transformation. It serves its services for Global 2000 clients. LinkedIn Account: https://www.linkedin.com/company/ascendion
https://www.linkedin.com/company/ascendion Employee Count: 2,753
2,753 3 Months Growth Rate: 6.26%
6.26% Latest Estimated Revenue Min: $3,761,981
$3,761,981 Latest Estimated Revenue Max: $75,239,615
17. Onpassive, LLC
Informal Name: Onpassive
Onpassive Founding Year: 2018
2018 City: Orlando
Orlando State: FL
FL Website: https://www.onpassive.com
https://www.onpassive.com Description: Onpassive, LLC is an IT company solely focused on building a total business solution. The company brings innovation, delivers value, and maximizes business potential with less effort and more impact. The fully automated platform provides effortless business solutions to establish a successful enterprise, it helps business owners to hack its growth with the help of its in-house AI tools designed by the dedicated team.
Onpassive, LLC is an IT company solely focused on building a total business solution. The company brings innovation, delivers value, and maximizes business potential with less effort and more impact. The fully automated platform provides effortless business solutions to establish a successful enterprise, it helps business owners to hack its growth with the help of its in-house AI tools designed by the dedicated team. LinkedIn Account: https://www.linkedin.com/company/onpassiveofficial
https://www.linkedin.com/company/onpassiveofficial Employee Count: 2,658
2,658 3 Months Growth Rate: 1.54%
1.54% Latest Estimated Revenue Min: $5,175,000
$5,175,000 Latest Estimated Revenue Max: $103,500,000
18. OfficePartners360, LLC
Informal Name: OfficePartners360
OfficePartners360 Founding Year: 2006
2006 City: Ridgefield
Ridgefield State: CT
CT Website: https://www.op360.com
https://www.op360.com Description: OfficePartners360, LLC is an outsourcing company focused on providing custom back office and customer service solutions. It delivers streamlined solutions for brands and businesses. The company serves small to medium-sized businesses.
OfficePartners360, LLC is an outsourcing company focused on providing custom back office and customer service solutions. It delivers streamlined solutions for brands and businesses. The company serves small to medium-sized businesses. LinkedIn Account: https://www.linkedin.com/company/officepartners360
https://www.linkedin.com/company/officepartners360 Employee Count: 2,378
2,378 3 Months Growth Rate: 4.91%
4.91% Latest Estimated Revenue Min: $4,837,355
$4,837,355 Latest Estimated Revenue Max: $96,747,100
19. Rockefeller Group Technology Solutions, Inc.
Informal Name: C1
C1 Founding Year: 1993
1993 City: Bloomington
Bloomington State: MN
MN Website: http://onec1.com
http://onec1.com Description: Rockefeller Group Technology Solutions, Inc. is a telecommunications company. It offers voice and data business solutions. The company serves its clients within the area.
Rockefeller Group Technology Solutions, Inc. is a telecommunications company. It offers voice and data business solutions. The company serves its clients within the area. LinkedIn Account: https://www.linkedin.com/company/converge-one
https://www.linkedin.com/company/converge-one Employee Count: 2,281
2,281 3 Months Growth Rate: 0.53%
0.53% Latest Estimated Revenue Min: $6,548,807
$6,548,807 Latest Estimated Revenue Max: $130,976,140
20. Alta Resources Corp.
Informal Name: Alta Resources
Alta Resources Founding Year: 1995
1995 City: Neenah
Neenah State: WI
WI Website: https://www.altaresources.com
https://www.altaresources.com Description: Alta Resources Corp. is an information technology company. It provides customer management business-process outsourcing for leading brands in many industries. The company offers its services in automotive, CPG, entertainment, healthcare and insurance, nonprofits, retail and e-commerce, and the tech industry.
Alta Resources Corp. is an information technology company. It provides customer management business-process outsourcing for leading brands in many industries. The company offers its services in automotive, CPG, entertainment, healthcare and insurance, nonprofits, retail and e-commerce, and the tech industry. LinkedIn Account: https://www.linkedin.com/company/alta-resources
https://www.linkedin.com/company/alta-resources Employee Count: 2,235
2,235 3 Months Growth Rate: 3.03%
3.03% Latest Estimated Revenue Min: $4,875,000
$4,875,000 Latest Estimated Revenue Max: $97,500,000
21. Shipcom Wireless Inc
Informal Name: Shipcom Wireless
Shipcom Wireless Founding Year: 1998
1998 City: Houston
Houston State: TX
TX Website: https://shipcom.io
https://shipcom.io Description: Shipcom Wireless, Inc. provides AI-infused tailored solutions, with sleek interfaces, so every user can leapfrog its business to an automated future. The company's solutions optimize facilities and operations using data from the IoT devices and insights from its AI engine.
Shipcom Wireless, Inc. provides AI-infused tailored solutions, with sleek interfaces, so every user can leapfrog its business to an automated future. The company's solutions optimize facilities and operations using data from the IoT devices and insights from its AI engine. LinkedIn Account: https://www.linkedin.com/company/shipcom
https://www.linkedin.com/company/shipcom Employee Count: 2,033
2,033 Latest Estimated Revenue Min: $4,937,105
$4,937,105 Latest Estimated Revenue Max: $98,742,090
22. Astreya Partners, Inc.
Informal Name: Astreya Partners
Astreya Partners Founding Year: 2001
2001 City: San Francisco
San Francisco State: CA
CA Website: https://astreya.com
https://astreya.com Description: Astreya Partners, Inc. is an information technology services company that provides information technology talent outsourcing and infrastructure services to enterprises. The company offers strategic and tactical services for some of the recognizable and innovative companies. It delivers technology-enabled services to fuel digital transformation, enabling businesses to make better decisions, achieve operational efficiency, and gain a competitive edge.
Astreya Partners, Inc. is an information technology services company that provides information technology talent outsourcing and infrastructure services to enterprises. The company offers strategic and tactical services for some of the recognizable and innovative companies. It delivers technology-enabled services to fuel digital transformation, enabling businesses to make better decisions, achieve operational efficiency, and gain a competitive edge. LinkedIn Account: https://www.linkedin.com/company/astreya-partners
https://www.linkedin.com/company/astreya-partners Employee Count: 2,017
2,017 3 Months Growth Rate: 1.46%
1.46% Latest Estimated Revenue Min: $4,500,000
$4,500,000 Latest Estimated Revenue Max: $90,000,000
23. Devsinc
Informal Name: Devsinc
Devsinc Founding Year: 2010
2010 City: Santa Clara
Santa Clara State: CA
CA Website: https://devsinc.com
https://devsinc.com Description: Devsinc is an internet company. It offers services such as integrations, security & compliance, custom app development, data architecture and foundations, reliability, and AI & machine learning. The company’s services are offered worldwide.
Devsinc is an internet company. It offers services such as integrations, security & compliance, custom app development, data architecture and foundations, reliability, and AI & machine learning. The company’s services are offered worldwide. LinkedIn Account: https://www.linkedin.com/company/developers-inc
https://www.linkedin.com/company/developers-inc Employee Count: 1,909
1,909 3 Months Growth Rate: 3.05%
3.05% Latest Estimated Revenue Min: $7,574,959
$7,574,959 Latest Estimated Revenue Max: $151,499,180
24. Quinnox, Inc.
Informal Name: Quinnox
Quinnox Founding Year: 1999
1999 City: Chicago
Chicago State: IL
IL Website: https://www.quinnox.com
https://www.quinnox.com Description: Quinnox, Inc. is an application development company. It deploys an agile IT delivery model using AI-powered platforms. The company simplifies operational processes, improves customer experiences, and creates business value for forward-thinking enterprises. It serves the information technology sector.
Quinnox, Inc. is an application development company. It deploys an agile IT delivery model using AI-powered platforms. The company simplifies operational processes, improves customer experiences, and creates business value for forward-thinking enterprises. It serves the information technology sector. LinkedIn Account: https://www.linkedin.com/company/quinnoxinc
https://www.linkedin.com/company/quinnoxinc Employee Count: 1,777
1,777 3 Months Growth Rate: 0.51%
0.51% Latest Estimated Revenue Min: $7,100,000
$7,100,000 Latest Estimated Revenue Max: $142,000,000
25. Jade Global, Inc.
Informal Name: Jade Global
Jade Global Founding Year: 2003
2003 City: San Jose
San Jose State: CA
CA Website: https://www.jadeglobal.com
https://www.jadeglobal.com Description: Jade Global, Inc. is a trusted IT services partner for global enterprises. It provides enterprise business application implementations, integrations, software product engineering, Cloud services, technology advisory, testing, and managed services across diverse industries. The company serves customers worldwide.
Jade Global, Inc. is a trusted IT services partner for global enterprises. It provides enterprise business application implementations, integrations, software product engineering, Cloud services, technology advisory, testing, and managed services across diverse industries. The company serves customers worldwide. LinkedIn Account: https://www.linkedin.com/company/jade-global
https://www.linkedin.com/company/jade-global Employee Count: 1,750
1,750 3 Months Growth Rate: 4.73%
4.73% Latest Estimated Revenue Min: $4,250,000
$4,250,000 Latest Estimated Revenue Max: $85,000,000
Evolution of AI in the U.S. Tech Economy
AI in the U.S. tech economy has experienced significant milestones and advancements, driven largely by leading tech giants. These developments have transformed industries and innovation at an unprecedented scale.
Historical Milestones and Key Developments
The evolution of AI began in the early 1950s. Early research set the foundation with pioneers like Alan Turing introducing theoretical ideas. In the 1980s, expert systems gained popularity, supporting decision-making in various fields.
By the 2000s, machine learning algorithms started to show promise, enabled by better computational power. The launch of open-source libraries like TensorFlow by Google in 2015 democratized access to AI tools. More recently, advancements in deep learning have driven innovations, leading to breakthroughs in natural language processing and computer vision.
Influence of Top U.S. Tech Giants on AI Growth
Top U.S. tech companies have played a pivotal role in AI's development. Google has invested heavily in AI research, contributing to numerous innovations and creating frameworks like TensorFlow. Amazon leverages AI for personalized recommendations and efficient logistics through its AWS services.
Microsoft’s AI initiatives include Azure AI services and research labs focused on advancing AI capabilities. Facebook uses AI to enhance user experience and ensure safe online environments. IBM has developed Watson, a powerful AI system used in various industries. NVIDIA’s GPUs have become essential for training complex AI models due to their immense processing power.
These companies not only drive technology forward but also shape how AI integrates into our daily lives, boosting productivity and creating new economic opportunities.
Leading Privately Held AI Companies
Many privately held AI companies in the USA are making significant strides in the field of artificial intelligence. These companies are often featured in industry-recognized lists and have a profound impact on various niche domains, from healthcare to cybersecurity.
Forbes AI 50 and Notable Mentions
Every year, Forbes publishes the AI 50 list, highlighting the most promising privately held AI companies. These companies are recognized for their innovation and growth potential. Notable mentions include:
Databricks : Known for its data analytics platform, it offers AI and machine learning solutions to enterprises.
: Known for its data analytics platform, it offers AI and machine learning solutions to enterprises. UiPath : A leader in robotic process automation, it leverages AI to automate repetitive tasks.
: A leader in robotic process automation, it leverages AI to automate repetitive tasks. OpenAI: Renowned for developing advanced AI technologies, including language models like GPT.
These companies attract significant venture capital investment from firms like Sequoia Capital and Meritech Capital. Funding helps them advance their research and expand their market reach.
Innovation in Niche AI Domains
Several privately held AI companies focus on specific industries, driving innovation in niche areas. For instance:
Tempus : Specializes in healthcare AI, offering solutions for personalized medicine and cancer care.
: Specializes in healthcare AI, offering solutions for personalized medicine and cancer care. Darktrace : Utilizes AI for cybersecurity, detecting and responding to threats in real-time.
: Utilizes AI for cybersecurity, detecting and responding to threats in real-time. SenseTime: Focuses on computer vision and has applications in security and surveillance.
These companies are pivotal in transforming their respective fields through AI-driven solutions. Their innovations not only enhance efficiency but also open new avenues for growth and development.
By staying at the forefront of AI advancements, these companies play a crucial role in shaping the future of technology and industry.
Investment and Valuation Trends in AI Startups
Investment in AI startups has seen significant growth. From 2012 to 2020, the worldwide value of venture capital (VC) investments in AI startups has risen dramatically. We notice this surge is particularly strong in the United States, which captures a large share of these investments, highlighting the country's pivotal role in AI development.
By mid-2018, AI startups had attracted substantial funding from private equity investments. The interest in AI sectors such as machine learning, natural language processing, and autonomous technologies continues to rise. This trend points to the growing importance of AI in various industries.
Recent data indicates that venture capitalists (VCs) allocated six times more funds to AI startups since the early 2000s. This increase underscores the confidence investors have in the potential of AI technology to transform markets and create new opportunities.
Large tech companies are also actively buying AI startups, enhancing their own technological capabilities while driving up the valuations of these startups. This acquisition trend not only elevates the startups' valuations but also signals the strategic importance of AI innovations.
Investments have become easier to analyze due to more data becoming available. This transparency helps investors make informed decisions, which further drives investment.
For more detailed insights, refer to the analysis on venture capital investments in artificial intelligence and the impact of AI innovations on economic growth in the US from this empirical analysis.
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| 2022-12-01T00:00:00 |
https://www.sourcescrub.com/bootstrapped/top-us-ai-private-companies
|
[
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|
Using AI to advance skills-first hiring | Brookings
|
Using AI to advance skills-first hiring
|
https://www.brookings.edu
|
[
"Josie Stewart",
"Brooke Tanner",
"Nicol Turner Lee",
"Mark Maccarthy",
"Eduardo Levy Yeyati"
] |
And across both the public and private sector, HR technology companies are evolving their solutions to support these skills-first employers. ' ...
|
The deployment of artificial intelligence is already transforming the world of work, with emerging effects that include the displacement of entry-level workers, rising demand for new AI skills, and fundamental changes in how tasks are executed across industries. AI’s undoubtedly dramatic future impact is not just a function of the technology, but also of how individuals and institutions choose to use it. So, how might we use this engine of disruption—and opportunity—to shift its trajectory toward inclusive outcomes in the labor market?
For decades, the bachelor’s degree has served as a proxy for employability for many middle- and high-wage jobs, effectively screening workers who are skilled through alternative routes (“STARs”) out of key economic mobility opportunities. Now, with the enhanced technological capabilities of generative AI, we can do better. We have the opportunity to replace that blunt proxy with something far more precise: a dynamic assessment of the actual skills of our workforce, as well as a better understanding of how workers acquire and deploy them in real time. Used this way, AI could just as well stand for “amplified intention.” If applied equitably and transparently, AI can help shift hiring systems from exclusion to inclusion—redefining opportunity in the 21st century labor market.
Wires crossed: Understanding the broken labor market
Before we assess how AI can change the world of work for the better, we must first examine the forces that led to today’s broken labor market. Today, over 70 million STARs form the backbone of the U.S. workforce. STARs were once the drivers and beneficiaries of a tremendous surge in upward economic mobility in the decades following World War II. However, in the early 2000s, upward mobility stalled, with deleterious effects on talent pipelines, family incomes, and the broader contract with the American working class. Much of this decline was the result of companies responding to changing technologies with talent management practices that had unintended and often unacknowledged consequences.
In Opportunity@Work’s recently published “State of the Paper Ceiling” report, we explain that between 2000 and 2019, a “paper ceiling”—invisible barriers such as degree screens, biased algorithms, stereotyping, and exclusive professional networking—caused STARs to lose access to almost 7.5 million jobs that had traditionally provided pathways to upward mobility. This happened despite the fact that over 30 million STARs demonstrated skills for higher-wage jobs, as employers changed core business practices and began to rely on flawed algorithms to sort through applications and identify and evaluate talent.
Rewiring the system: Progress in skills-first hiring proves what’s possible
“State of the Paper Ceiling” offers a perspective on how to reverse this harm and expand upward mobility, with implications for our use of AI. Consider the aftermath of two recent crises. After the 2008 financial crisis, the downward trend for STARs accelerated as “screening out” by degrees proliferated. However, following the pandemic-induced contraction of 2020, STARs fared somewhat better; although they still lost more ground and recovered less quickly than workers with degrees, the decline was less severe. These two events were characterized by different fiscal and monetary responses that impacted labor market opportunities and wages, while the 2020 recovery was also influenced by a growing skills-based hiring movement.
Over the past five years, Opportunity@Work has collaborated with partners across the nonprofit, public, and private sectors to launch the Tear the Paper Ceiling campaign, which highlights STARs’ contributions to the workforce and the barriers to mobility they face. Recognition of the “paper ceiling” has increased steadily since the inception of the campaign, with 38% of employers citing familiarity with the term and 15% of STARs self-identifying as STARs (both up from 0% pre-campaign). These shifting perceptions are a starting point for broader social change.
Changes in organizational culture and practice, especially in large companies and government entities, require realignment of incentives and resources. They also take time, but these shifts in perception are beginning to drive important changes in behavior. Employers, policymakers, and STARs themselves are contributing to new models of inclusive hiring. Over half of U.S. state governments have committed to modernizing hiring practices to enable more STARs to enter middle- and high-wage jobs in the public sector. In the private sector, companies are testing and iterating skills-based hiring practices. And across both the public and private sector, HR technology companies are evolving their solutions to support these skills-first employers.
‘Amplified intention’: Leveraging AI to rewire the labor market
The U.S. economy is entering a profound technological and economic transition, one that requires intention to maximize societal benefit and minimize risk. So, we should think of AI as “amplified intention”—a technology designed to observe, replicate, and accelerate actions. In today’s labor market, if we direct AI to observe the patterns of the past, it will replicate the paper ceiling and accelerate its exclusionary effects. Instead, we should direct AI technologies to observe and understand workers’ skills and replicate skills-based pathways to accelerate the tearing of the paper ceiling, exponentially opening up opportunities to STARs and connecting employers to the skilled talent they need.
What would that look like in practice? First, let’s support employers to use AI for inclusion. With the analytic power to review millions of job descriptions, job performance data, job transitions, and more, we have the ability to refine skill taxonomies for a better understanding of the skills needed for jobs and the many, varied ways those skills are attained. With this knowledge, we will be better equipped to support American employers to create new job categories, clarify skills-based pathways, and broaden access to jobs that require valuable but often overlooked skills.
Second, let’s help workers leverage AI to adapt. In a labor market where new skills are emerging at a high velocity, where AI technologies are augmenting existing skills in workers, and where skills can create an increasingly agile workforce positioned for a wider range of roles, AI can also equip workers with the tools to keep up, enabling them to pivot more easily across tasks as demands shift. These technologies may very well serve to enhance—rather than replace—workers’ existing strengths.
AI can supercharge a STARs-powered economy in this next generation. But because the broad use of AI promises to increase our reliance on algorithms, it is essential to consider the data and reasoning behind these algorithms in order to avoid the replication and amplification of past and present biases. If we succeed, this moment of disruption could serve as a moment of opportunity.
| 2022-12-01T00:00:00 |
https://www.brookings.edu/articles/using-ai-to-advance-skills-first-hiring/
|
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|
What AI Companies Are Hiring The Most Right Now | Edison & Black
|
What AI Companies Are Hiring The Most Right Now
|
https://edisonandblack.com
|
[
"Edison"
] |
As AI transitions from experimental technology to core business infrastructure, companies are pouring billions into talent acquisition, ...
|
The artificial intelligence industry in 2025 has transformed into an unprecedented talent battlefield, where leading technology giants and innovative startups are engaging in the most aggressive hiring war Silicon Valley has ever witnessed.
As AI transitions from experimental technology to core business infrastructure, companies are pouring billions into talent acquisition, fundamentally reshaping the global employment landscape and creating extraordinary opportunities for professionals across diverse skill sets.
The AI Talent Gold Rush
An Industry in Transformation
The year 2025 marks a watershed moment in the AI employment market, characterized by explosive growth, strategic workforce restructuring, and compensation packages that rival professional sports contracts. According to Reuters, the contest in Silicon Valley to dominate artificial intelligence is playing out on a new court: superstar researchers. While the scramble to attract top talent has always been a hallmark of the tech industry, since ChatGPT launched in late 2022, recruiting has escalated to professional athlete levels.
This transformation represents more than traditional hiring expansion—it signals a fundamental re-engineering of how businesses operate and compete, with AI becoming central to future growth and efficiency across industries. The stakes could not be higher, as companies recognize that early advantages in AI talent acquisition compound exponentially in this winner-take-all dynamic.
The Giants Leading the Charge Big Tech's Massive AI Investment
OpenAI continues to dominate headlines not just for its groundbreaking ChatGPT technology, but for its comprehensive hiring strategy that extends far beyond technical roles. According to the company's official careers page, OpenAI currently lists 233 AI-related positions out of 312 total openings, spanning research engineering, machine learning, data science, sales, legal, finance, and operations.
This diversified hiring approach demonstrates that successful AI companies require a complete organizational ecosystem, not just technical talent. OpenAI's recruitment spans roles from Account Directors and Administrative Business Partners to AI Technical Support Specialists and Analytics Engineers, indicating that building and scaling AI products necessitates comprehensive business operations infrastructure.
Top OpenAI researchers regularly receive compensation packages of over $10 million a year, according to Reuters, with the company offering more than $2 million in retention bonuses and equity packages exceeding $20 million to deter defections to Ilya Sutskever's new venture, SSI.
Meta's Unprecedented $100 Million Talent Acquisition Campaign
Meta Platforms has emerged as perhaps the most aggressive player in the AI talent wars, with CEO Mark Zuckerberg personally leading recruitment efforts for a new "Superintelligence" lab. According to Fortune, in his pitch to OpenAI staffers, the Meta CEO offered a $100 million signing bonus and one year's compensation.
Mark Zuckerberg announced the creation of Meta Superintelligence Labs, which will be led by some of his company's most recent hires, including Scale AI ex-CEO Alexandr Wang and former GitHub CEO Nat Friedman. The new unit aims to develop artificial general intelligence (AGI) and represents Meta's most significant strategic pivot toward AI dominance.
Meta is reportedly spending hundreds of millions of dollars to lure top AI talent from competitors, with Zuckerberg personally leading recruitment efforts. Bloomberg reports that Zuckerberg has rearranged Meta's offices so new superintelligence team members sit near him, underscoring the CEO's hands-on approach to this initiative.
Google and Microsoft
Infrastructure and Integration Powerhouses
Google has been heavily recruiting across its AI divisions, particularly after merging DeepMind with Google Brain to accelerate AI development. According to industry sources, Google DeepMind has offered top researchers $20 million per year compensation packages, awarded off-cycle equity grants specifically to AI researchers, and has also reduced vesting on some stock packages to 3 years, instead of the normal 4 years.
The company's extensive job listings span machine learning scientists, AI sales specialists, software engineers specializing in generative AI, and AI strategists across global locations including Taiwan, Japan, and India.
Microsoft, despite simultaneous layoffs in other divisions, is committing $80 billion toward AI infrastructure and data centers specifically designed to train AI models. The company's research division alone lists 111 open positions in AI research, including applied scientists, data scientists, research engineers, and principal applied scientists.
NVIDIA: The Infrastructure Enabler
NVIDIA stands at the center of the AI revolution as the primary provider of GPU infrastructure that powers AI development across the industry. The company's hiring reflects its critical position, with over 900 AI-related positions spanning AI infrastructure engineering, GPU development, generative AI solutions, and autonomous machines.
NVIDIA's compensation reflects the premium placed on AI infrastructure expertise. For instance, a Full Stack Developer with AI and LLM expertise can command salaries between $224,000 and $425,500 annually. The company's focus extends beyond internal hiring to ecosystem development, with partnerships like the Mississippi AI education initiative demonstrating strategic long-term investment in talent pipeline development.
Rising Stars: AI Startups Reshaping the Landscape
Anthropic, valued at over $61 billion after raising $3.5 billion in its Series E funding round, represents a new category of AI companies focused on safety and responsible development. The company's careers page emphasizes its unique hiring philosophy: prioritizing "direct evidence of ability" over traditional academic credentials.
"We do not require PhDs or previous ML experience — About half of Anthropic technical staff have a PhD of some sort; about half had prior experience in ML," the company states. This approach potentially broadens the talent pool and indicates a more meritocratic approach to talent acquisition, emphasizing practical contributions and demonstrable skills over formal qualifications.
The company actively hires for specialized roles including AI Policy & Societal Impacts and Frontier Red Team positions focusing on safety, autonomy, and biosecurity, creating new career categories beyond pure technical development.
The Startup Ecosystem
Cohere, Anysphere, and Emerging Players
The AI startup ecosystem demonstrates remarkable diversity in application areas and hiring strategies. According to CRN's analysis of hot AI startups, Cohere secured $500 million in funding for its multilingual AI foundation models, while Anysphere, the company behind the AI coding tool Cursor, has reportedly surpassed $500 million in annual revenue with a $10 billion valuation.
Other notable players include Decagon, which raised $65 million for AI-powered customer support automation, and DevRev, which secured $100 million at a $1.1 billion valuation for its AI-native platform unifying customer support and product development.
The Global Talent War
International Recruitment Strategies
The pursuit of AI talent has become truly global, transcending traditional geographical boundaries. Chinese AI startup DeepSeek exemplifies this trend, actively expanding its global talent search by posting AGI-focused roles on LinkedIn despite LinkedIn's ceased operations in China, demonstrating the lengths companies will go to secure international talent.
Meta's Superintelligence Lab, which is notably composed entirely of immigrant AI researchers, explicitly highlights the indispensable role of global talent in driving AI innovation. This composition suggests that immigration policies and global talent attraction strategies are critical for maintaining competitive advantages in AI development.
The Strategic Imperative
Why Companies Are Reshaping Workforces for AI
The current AI hiring boom represents fundamental workforce restructuring driven by unprecedented investments. Microsoft's $80 billion commitment to AI infrastructure and appointment of a British AI pioneer to lead its Microsoft AI division signals long-term strategic commitment to AI leadership. Similarly, Amazon CEO Andy Jassy's prediction that AI will lead to "fewer people performing some existing jobs while simultaneously creating more new roles" indicates strategic resource reallocation within the company.
The Paradox of Layoffs and AI Hiring
The tech industry in 2025 has witnessed over 100,000 job cuts, with major players like Microsoft, Google, and Amazon leading mass restructuring efforts. However, these layoffs often coincide with massive AI investments, illustrating strategic workforce transformation rather than simple downsizing.
The AI Compensation Revolution
Multi-Million Dollar Packages
The intensity of AI talent competition has driven compensation to unprecedented levels. Meta is offering up to $440,000 in base salary alone to its top AI research engineers, according to recent federal filings, with these figures excluding restricted stock units (RSUs) and performance bonuses that significantly increase total compensation.
Cash compensation is also soaring, even for junior and mid-level AI talent. "We've seen a lot of startup offers in AGI and robotics where it used to be $250K for your base, but it's more competitive now," said Garett Gentry, a recruiter of AI talent who has worked in-house at Meta, Palantir, Google and Amazon.
The extreme compensation reflects the scarcity of elite AI talent. While talent has always been important in Silicon Valley, the difference with the AI boom is how few people are in this elite group – depending on who you ask, the number could range from a few dozen to around a thousand, according to sources familiar with the recruitment landscape.
In-Demand Roles and Essential Skills
From Machine Learning to Generative AI
The AI job market in 2025 prioritizes both foundational and specialized technical roles. Traditional positions such as Machine Learning Engineers, Data Scientists, and Natural Language Processing (NLP) Engineers remain highly sought after, but there's significant surge in demand for more specialized roles including Generative AI Specialists, Computer Vision Engineers, and AI Product Managers.
The market increasingly emphasizes "production-ready talent"—engineers capable of deploying and scaling AI systems rather than solely focusing on prototyping. This includes growing demand for MLOps Engineers, LLM Engineers, and professionals proficient in modern LLM application stacks such as vector databases, Retrieval Augmented Generation (RAG) workflows, and prompt engineering tools.
Key technical skills include proficiency in Python, PyTorch, JAX, Hugging Face Transformers, and LangChain, along with experience in major cloud providers like AWS, Azure, and Google Cloud, and containerization tools including Docker and Kubernetes.
The Rise of Non-Technical AI Roles
AI fluency is rapidly becoming a baseline expectation across industries. According to Autodesk's 2025 AI Jobs Report, mentions of AI in general job listings surged by 56.1% year-to-date in 2025, following substantial increases of 114.8% in 2023 and 120.6% in 2024.
New categories of non-technical AI roles are emerging rapidly, including AI Content Creator (experiencing 134.5% growth), AI Coach (57.7% growth), AI Strategist (34.8% growth), and AI Compliance Manager (46.0% growth). These positions require a blend of technical understanding and human-centric skills like creativity, communication, and strategic thinking.
The Critical Importance of Human Skills
While technical skills remain paramount, uniquely human capabilities are being revalued in the AI-driven workforce. Design has overtaken technical expertise as the most in-demand skill in AI-related job postings, followed closely by communication, collaboration, and leadership. This indicates that companies seek talent capable of bringing human ingenuity and strategic judgment to AI applications.
Emotional intelligence, problem-solving, creativity, adaptability, critical thinking, and continuous learning agility are crucial for navigating complex AI integration and innovation challenges. These "uniquely human" attributes are indispensable for collaborating effectively in hybrid human-AI teams.
Market Growth and Future Projections
Explosive Job Market Expansion
The AI job market continues explosive growth trajectory. AI job mentions in US listings increased by 56.1% year-to-date in 2025, building on substantial growth of 114.8% in 2023 and 120.6% in 2024. The fastest-growing roles include AI Engineer (+143.2%), AI Content Creator (+134.5%), AI Solutions Architect (+109.3%), and Prompt Engineer (+95.5%).
Geographically, Asia now leads AI hiring growth at 94.2% year-over-year, surpassing North America's 88.9% growth, indicating the emergence of new AI powerhouses outside traditional tech hubs.
Long-Term Employment Impact
Despite concerns about job displacement, World Economic Forum projections indicate a net gain of 78 million new jobs by 2030, even as 92 million roles are displaced by AI. This reinforces the concept that AI is transforming rather than simply eliminating the job market.
Research from the Brookings Institution indicates that firms investing heavily in AI experience significant overall employment growth approximately two to three years later, highlighting complex, long-term workforce transformation where AI displaces certain roles but creates new opportunities, particularly for highly skilled workers.
Strategic Implications
Upskilling and Certification Imperative
The observed shift toward highly educated and technically skilled workers necessitates proactive upskilling strategies. Google is launching comprehensive upskilling platforms to help employees transition into AI-based roles, while Microsoft emphasizes partner specializations and required certifications to demonstrate AI proficiency.
NVIDIA's training initiatives and partnerships with state governments for AI education demonstrate industry-wide recognition that the AI skills gap requires broader societal investment beyond direct hiring. Certifications such as Microsoft's Azure Data Science Associate or Azure AI Engineer Associate are becoming increasingly important for demonstrating AI competency.
Strategic Career Development
Professionals navigating this evolving landscape should reassess current roles, proactively pursue relevant certifications, and explore AI transition opportunities. Demonstrating practical projects beyond theoretical knowledge, contributing to open-source initiatives, and writing about AI work can significantly enhance marketability and visibility to potential employers. For those seeking specialized guidance in AI career transitions, working with dedicated AI recruiting agencies like Edison & Black can provide valuable insights into market demands and help navigate the complex landscape of AI job opportunities across different companies and skill levels.
The emphasis on "direct evidence of ability" at companies like Anthropic suggests that practical contributions and demonstrable skills may be more valuable than traditional academic credentials in many AI roles.
Talent Strategy and Retention
Organizations must identify skills needed for hybrid human-AI teams, support lifelong learning initiatives, and develop robust knowledge retention strategies. Benchmarking workforce strategies against leaders like Amazon, which focuses intensively on efficiency and AI talent reallocation, is crucial for maintaining competitive advantages.
The growing demand for multi-cloud expertise—reflected in job listings mentioning experience with AWS, Azure, and Google Cloud—indicates that cross-platform proficiency is becoming valuable, especially in enterprise contexts where companies seek flexibility and vendor diversification.
The Future of AI Employment
The AI job market in 2025 represents a landscape of rapid transformation, marked by unprecedented investment, strategic restructuring, and intense competition for specialized talent. While automation reshapes traditional roles, it simultaneously creates wealth of new opportunities, particularly for professionals combining advanced technical skills with uniquely human competencies.
Companies are not merely hiring more—they are hiring differently, prioritizing production-ready talent, fostering interdisciplinary teams, and recognizing the critical role of global expertise. The evidence strongly suggests that future workforce will be characterized by continuous learning, adaptability, and strategic integration of human and artificial intelligence capabilities.
For individuals and organizations alike, understanding these nuanced trends and proactively adapting to an AI-native workforce will be essential for thriving in this transformative era. The future belongs to those who can effectively bridge the gap between human creativity and artificial intelligence capabilities, creating value that neither humans nor AI could achieve independently. As we progress through 2025, the AI employment landscape will continue evolving rapidly, driven by technological breakthroughs, regulatory developments, and shifting market dynamics. Success in this environment requires not just technical competency, but also adaptability, continuous learning, and the wisdom to leverage AI as a powerful tool for human augmentation rather than replacement.
The companies leading this transformation—from established giants like Google and Microsoft to innovative startups like Anthropic and emerging players—are setting the foundation for a future where artificial intelligence and human intelligence work in concert to solve the world's most challenging problems. For professionals ready to embrace this future, the opportunities have never been more abundant or more transformative.
| 2025-07-06T00:00:00 |
2025/07/06
|
https://edisonandblack.com/pages/what-ai-companies-are-hiring-the-most-right-now.html
|
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Artificial Intelligence (AI) Solutions | IBM
|
Artificial Intelligence (AI) Solutions
|
https://www.ibm.com
|
[] |
Customize Your Business Evolution and Harness the Power of AI on Hybrid Cloud. Join a webinar to meet AI where you are. · IBM is named a Leader in Data Science & ...
|
With IBM, cascade the use of AI across your entire organization, creating real technology advantage for your business.
We work with an ecosystem of top partners such as AWS, Microsoft and SAP to present the best AI solutions for your business needs. Wherever you are on your AI journey, IBM can help.
| 2022-12-01T00:00:00 |
https://www.ibm.com/artificial-intelligence
|
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|
7 AI Companies Revolutionizing Recruiting
|
7 AI Companies Revolutionizing Recruiting
|
https://appliedaibook.com
|
[
"Kate Koidan"
] |
7 AI Companies Revolutionizing Recruiting · 1. Mya Systems · 2. Wade & Wendy · 3. AllyO · 4. HiredScore · 5. Hiretual · 6. Textio · 7. HireVue. HireVue ...
|
7 AI Companies Revolutionizing Recruiting
AI won’t take the “human” out of HR, but applying novel machine learning capabilities can eliminate repetitive and monotonous activities in recruiting and talent management.
The power of automation is based on being able to design and reimagine the daily processes that organizations rely on. However, to adopt new technologies effectively, companies need to truly understand the potential that AI offers them.
In this article, we feature companies with proven AI and ML expertise that are transforming HR activities with state-of-the-art AI-driven solutions.
Hiring chatbot Mya Systems uses conversational AI to streamline the recruiting process for staffing agencies and companies such as L’Oréal, Adecco, Hays, and Deloitte.
Mya guides candidates through the entire hiring process, starting from the job search and up to the onboarding. To allow natural conversation with the candidates, Mya leverages state-of-the-art approaches from natural language processing and understanding:
by using semantic parsing, named entity recognition, and intent classification, the chatbot can capture meaningful information from the human responses;
using dynamic dialogue management, Mya can understand context, complex statements, and changes to previous answers;
by learning continuously from millions of interactions, the dialog system constantly improves the accuracy of its responses.
The solution is supported by a team of experienced machine learning engineers and NLP engineers.
Conversation Quality Matters (source)
L’Oréal rolled out its first conversational platform with Mya Systems, increasing candidates’ satisfaction. According to Niilesh Bhoite, Chief Digital Officer for HR at L’Oréal, “The results of the first 10,000 recruiting conversations show that Mya engages with 92% of our candidates in an efficient way and achieves a near 100% satisfaction rate. We’ve received great feedback from our applicants. Many commented on how easy and personal the experience felt.”
Wade & Wendy’s AI-driven solutions automate task-driven recruitment processes for both job seekers and recruiters:
Wade supports candidates in their job seeking and career advancement efforts. After learning about the person’s skills, experiences, and goals, Wade guides job seekers to the right job opportunities for their professional growth.
supports candidates in their job seeking and career advancement efforts. After learning about the person’s skills, experiences, and goals, Wade guides job seekers to the right job opportunities for their professional growth. Wendy is a solution for recruiters who want to offload repetitive tasks to a smart assistant. A recruiter only needs to post a job description and then Wendy will proceed with identifying the best talent, promoting job descriptions with partners and email marketing campaigns, chatting with candidates, screening and shortlisting applicants, and scheduling interviews.
For example, when a Fortune 100 manufacturing organization deployed Wendy to source and screen candidates, this AI-driven chatbot conducted hundreds of in-depth personalized conversations with job seekers to identify 325 qualified and interested candidates in just two weeks.
The intelligence of Wade & Wendy is driven by a proprietary recruiting conversation system, cutting-edge text parsing techniques, intelligent workflow automation, and a robust knowledge graph consisting of conversational utterances, linguistic logic, and attributes about job seekers, candidates, and job positions.
To achieve the best performance for their conversational system, NLP data scientists at Wade & Wendy experiment with cutting-edge models, including BERT and XLNet.
AllyO offers end-to-end AI recruiting software from “Hi” to “Hired”, including a wide range of different products:
AllyO RECRUIT captures candidates with a conversational AI system, identifies high-potential candidates using smart screening and assessment, and automatically schedules interviews.
captures candidates with a conversational AI system, identifies high-potential candidates using smart screening and assessment, and automatically schedules interviews. AllyO Assist is an AI-powered assistant that automates the HR helpdesk.
is an AI-powered assistant that automates the HR helpdesk. AllyO Connect is a texting platform that ensures higher candidate and employee engagement in communication.
is a texting platform that ensures higher candidate and employee engagement in communication. AllyO Schedule enables automated interview scheduling, manages rescheduling and cancelation options, and allows single-click video interviewing.
enables automated interview scheduling, manages rescheduling and cancelation options, and allows single-click video interviewing. AllyO Survey automates employee surveying, including new hire check-ins, exit interviews, and gathering important insights on diversity and inclusion, employee happiness, and employee engagement.
The solution providers claim that they are trusted by 15% of the Fortune 50 companies across 16+ industries. For example, Anixter International decided to staff their warehouses with 50 more employees using the AllyO solution. Specifically, AllyO was deployed for screening and scheduling candidates for the two hiring events. With this AI-driven solution, the company was able to schedule over 700 interviews in a span of a few weeks, resulting in the required number of qualified hires.
Anixter International Case Study (source)
Learn more about how AllyO handles complex and persistent multi-step workflows within their deep conversational AI system with Kathleen Preddy, NLP Applied Scientist at AllyO.
HiredScore transforms how companies hire and retain employees by providing AI-driven solutions that seamlessly integrate with the clients’ existing HR systems, ensuring compliance and security:
Spotlight ensures candidate scoring customized for each company’s hiring processes and needs.
ensures candidate scoring customized for each company’s hiring processes and needs. Fetch helps with proactive reviewing of past candidates and employees for new open positions.
helps with proactive reviewing of past candidates and employees for new open positions. HiredScored Express allows quicker and easier high-volume hiring with a mobile-friendly recruiter platform.
In addition, HiredScore provides tools for:
recommending internal employees for open positions;
building smart analytics that maximizes recruiters’ effectiveness;
capturing feedback from hiring managers in a mobile-friendly hub;
ensuring 100% data compatibility, data utilization, and data privacy compliance.
How does HiredScore work? (source)
Alcoa, a large enterprise that pioneered the aluminum industry over 130 years ago, had challenges with processing a high volume of applicants in the absence of appropriate technology support. HiredScore has significantly improved its hiring practices by offering a data-driven solution for applicant prioritization, automated data analytics for providing insights into key aspects of successful candidates, and quick and seamless integration with existing HR systems.
The company’s proprietary AI is customized for each client, proactively mitigates bias, and is trained on a large dataset that includes 25M CVs, 50M job posts, and 21K career trees. Deep learning techniques are developed and implemented by an experienced team of applied ML researchers and data scientists.
Hiretual offers yet another set of AI-powered comprehensive solutions for most recruiting activities:
Its sourcing solution relies on an AI engine, which is a self-learning and self-expanding infrastructure that consists of 40+ platforms, 700M+ candidate profiles, and 100M+ job descriptions, and tracks 50M+ companies.
solution relies on an AI engine, which is a self-learning and self-expanding infrastructure that consists of 40+ platforms, 700M+ candidate profiles, and 100M+ job descriptions, and tracks 50M+ companies. Its engagement solution integrates seamlessly with all email service providers to build candidate pipelines that maximize recruiters’ productivity and candidates’ engagement.
Hiretual can be easily integrated with 30+ Applicant Tracking Systems (ATSs) to save time with one seamless workflow, sync candidate activities, and manage duplicates. The solution is supported by smart business analytics and industry-standard security and compliance measures.
Numerous case studies demonstrate the effectiveness of Hiretual’s solution for companies of different sizes. Poshmark, a leading social commerce marketplace with 430 employees, is growing fast and needed a platform to fill in a high number of open positions. With Hiretual they achieved 40% less time spent on sourcing, a 75% increase in response rates, and a 60% increase in the number of qualified leads.
Chenega Corporation, with 5000 employees, works in the government contracting industry and provides diverse and qualified employees to federal and commercial businesses. The company had difficulty connecting with candidates on social media platforms. After deploying Hiretual, they no longer had to manually hunt through candidate profiles in search of the top candidates. They reduced time-to-hire by 10%, spent 50% less time on sourcing, had a 30% increase in response rates, and a 40% growth in the number of qualified candidates.
The company’s experienced team of machine learning engineers is headed by CTO and co-founder of Hiretual, Xinwen Zhang. You can also learn more about how AI and machine learning technologies are transforming hiring practices in an interview with Hiretual’s CEO and co-founder Steven Jiang.
Textio’s augmented writing solution helps companies speak the language of their job candidates to increase the effectiveness of the hiring process:
Textio Flow allows writing a new job ad from scratch in minutes.
allows writing a new job ad from scratch in minutes. Hiring Score predicts how effective the job posting will be at recruiting top candidates.
predicts how effective the job posting will be at recruiting top candidates. Gender Bias Meter helps recruiters reveal the hidden gender bias in their writing and suggests alternatives to draw a broader applicant pool.
helps recruiters reveal the hidden gender bias in their writing and suggests alternatives to draw a broader applicant pool. Central Library, the shared repository for the hiring documents and all the key phrases, helps companies sound consistent and in line with the company culture.
Textio states that nearly a quarter of companies in the Fortune 500 have chosen their augmented writing technology for all of their hiring communications. The customers trusting Textio include Cisco, Johnson & Johnson, McDonald’s, and Zillow Group. As an example, Procter & Gamble has seen a 30% increase in their number of qualified applicants after adopting Textio.
Data science and natural language processing methods are embedded into the Textio solutions by a strong group of language and data specialists headed by Julie Letchner, and experienced teams of data scientists and NLP engineers.
Learn how Textio works in this two-minute video:
HireVue is arguably the best-known AI-powered hiring platform. This all-in-one solution includes:
pre-hire assessments that collect tens of thousands of data points in a single assessment to provide recruiters with the most accurate insights into every candidate’s job-related competencies;
that collect tens of thousands of data points in a single assessment to provide recruiters with the most accurate insights into every candidate’s job-related competencies; a video interviewing solution that allows conducting Live interviews that connect recruiters, hiring managers, and candidates in real time, as well as OnDemand interviews that let applicants record responses to structured, consistent, job-relevant questions anytime and anywhere;
solution that allows conducting Live interviews that connect recruiters, hiring managers, and candidates in real time, as well as OnDemand interviews that let applicants record responses to structured, consistent, job-relevant questions anytime and anywhere; game-based assessments that algorithmically link candidate gameplay to job-relevant competencies for more effective pre-hire assessments as well as assessments for internal mobility and leadership potential;
that algorithmically link candidate gameplay to job-relevant competencies for more effective pre-hire assessments as well as assessments for internal mobility and leadership potential; coding assessments in common programming languages, which are used to accurately measure job-relevant technical skills;
in common programming languages, which are used to accurately measure job-relevant technical skills; HireVue Coordinate, which automates interview scheduling.
HireVue Video Interview (source)
HireVue solutions are deployed by 700+ companies, including Unilever, Vodafone, PwC, and Oracle. As an example, Unilever deployed HireVue AI-driven assessments and achieved £1M annual cost savings, a 90% reduction in time to hire, and a 16% increase in diversity in hiring.
Along with voice and facial recognition software, HireVue has a proprietary algorithm to determine which candidates are ideal for a specific job by analyzing their vocabulary, speech patterns, body language, tone, and facial expressions. The sophisticated machine learning algorithms are implemented by a strong team of data scientists headed by Dr. Lindsey Zuloaga.
The article was originally published on TOPBOTS.
| 2020-07-30T00:00:00 |
2020/07/30
|
https://appliedaibook.com/ai-companies-for-recruiting/
|
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Top Chicago, IL AI Companies 2025 | Built In
|
Top Chicago, IL AI Companies 2025
|
https://www.builtinchicago.org
|
[] |
Top Chicago, IL AI Companies (173) · John Deere · PwC · FloQast · Caterpillar · DFIN · Caxy · Prosodica · Dropbox. Artificial Intelligence • Cloud • Consumer ...
|
Artificial Intelligence • Information Technology • Software • Analytics • Cybersecurity • Generative AI
Chicago, Illinois, USA 40 Employees
At UncommonX, we believe organizations need more than alerts —they need context, prioritization, and insight. That’s why we’re rethinking cybersecurity from the ground up. Our AI-powered Exposure Management platform delivers complete visibility across networks—on-prem, cloud, OT, IoT, and beyond—without deploying agents or disrupting operations. We call it hyperconverged security: a smarter, unified approach that combines asset discovery, vulnerability management, threat intelligence, and log/event analysis in one platform. It allows IT/cybersecurity teams to understand what's exposed, prioritize what's urgent, and take action—before threats become incidents. Our platform integrates seamlessly with hundreds of IT and security tools. It automatically uncovers every connected asset, rates its risk in real time using proprietary AI, and helps IT and security teams align on what matters most. And when incidents do occur, our expert 24/7 Security Operations Center (SOC) steps in as a true partner—containing threats, investigating root causes, and driving rapid remediation. We serve enterprises in finance, healthcare, manufacturing, higher education, and beyond—organizations with complex environments and high expectations. They turn to UncommonX not for more noise, but for a platform that sees everything, secures it, and saves them money. We value curiosity, accountability, and the drive to make things better—for our customers and each other. If you're ready to challenge the status quo and build something that matters, there’s a place for you at UncommonX.
| 2022-12-01T00:00:00 |
https://www.builtinchicago.org/companies/type/artificial-intelligence-companies
|
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{
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|
Artificial Intelligence for Business | Berkeley Exec Ed Online Program
|
Artificial Intelligence for Business
|
https://em-executive.berkeley.edu
|
[] |
This artificial intelligence program helps introduce the basic applications of AI to those in business.
|
According to Bloomberg, generative AI is anticipated to become a US$1.3 trillion market by 2032. A recent survey by New Vantage Partners found that 91.7 percent of top organizations are investing in Artificial Intelligence activities, and 54 percent of organizations using Artificial Intelligence reported cost savings and efficiencies in a study by IBM. With advancements in machine learning, automation, and natural language processing, AI, particularly generative AI, is revolutionizing traditional business models in unprecedented ways and is poised to drive a new wave of innovation and evolution across industries.
Artificial Intelligence offers a vast array of capabilities with virtually limitless potential, including automating repetitive tasks, providing predictive insights, enabling personalized customer experiences, optimizing supply chain management, and improving risk assessment. As generative AI continues to transform every aspect of modern business, organizations that embrace it will be empowered to unlock new opportunities, achieve operational efficiencies, and drive sustainable growth, gaining a competitive advantage.
In this program, you will:
| 2022-12-01T00:00:00 |
https://em-executive.berkeley.edu/artificial-intelligence-business-strategies
|
[
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{
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"query": "AI employers"
},
{
"date": "2023/01/01",
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"query": "AI business leaders"
},
{
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"position": 94,
"query": "AI employers"
},
{
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},
{
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},
{
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},
{
"date": "2023/05/01",
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"query": "artificial intelligence business leaders"
},
{
"date": "2023/06/01",
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"query": "AI business leaders"
},
{
"date": "2023/06/01",
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"query": "artificial intelligence business leaders"
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{
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{
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{
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},
{
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{
"date": "2024/01/01",
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},
{
"date": "2024/01/01",
"position": 46,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 51,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/01",
"position": 51,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 77,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 45,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
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{
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{
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{
"date": "2024/11/01",
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{
"date": "2024/11/01",
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"query": "artificial intelligence business leaders"
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{
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},
{
"date": "2024/12/01",
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},
{
"date": "2025/01/01",
"position": 45,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 58,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 46,
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{
"date": "2025/06/01",
"position": 55,
"query": "AI business leaders"
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{
"date": "2025/06/01",
"position": 46,
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|
Faculty - Frontier AI for the frontlines of the world
|
Frontier AI for the frontlines of the world
|
https://faculty.ai
|
[] |
Faculty partners with organisations to enhance performance through cutting-edge artificial intelligence solutions, driving real-world impact.
|
"Faculty have cared about AI safety for a long time and so they've been a natural and wonderful partner for us to work with. We really appreciate their efforts contributing to red teaming, which will ultimately help us ensure that our latest and greatest models are designed to work for the wide benefit of humanity."
Sam Altman, CEO
| 2022-12-01T00:00:00 |
https://faculty.ai/
|
[
{
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"query": "AI employers"
},
{
"date": "2023/01/01",
"position": 95,
"query": "AI employers"
},
{
"date": "2023/02/01",
"position": 95,
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{
"date": "2024/04/01",
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"query": "AI employers"
},
{
"date": "2025/04/01",
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}
] |
|
Best AI Stocks for 2025: Artificial Intelligence Investing
|
Best AI Stocks for 2025: Artificial Intelligence Investing
|
https://www.fool.com
|
[
"Jeremy Bowman"
] |
Learn how you can make money from the wave of seasoned companies innovating in the AI realm and new AI technology companies hitting the market.
|
Computers excel at crunching numbers but not at the things that many people do with ease, like language processing, visual perception, object manipulation, reasoning, planning, and learning. Artificial intelligence (AI), including its offshoots of deep learning and machine learning, uses computers to perform tasks that typically require human intelligence, such as language generation and facial recognition.
Image source: Getty Images.
How do companies use AI? How do companies use artificial intelligence? Artificial intelligence, or AI, is created through machine learning, which involves training a system with a tremendous amount of data. It then uses the trained system to make inferences about new data it's never seen.
The simplest example is a system designed to detect objects in images. Images containing those objects are provided to the system, which "learns" how to detect them in other images. The more objects it detects in images, the more accurate the detection system becomes. Companies employ AI in two main ways. Many tech companies use it to make their existing operations more powerful through high-profile applications like robotics, self-driving cars, and virtual assistants. AI is used by Alphabet subsidiary (GOOGL 0.79%) (GOOG 0.85%) Google to filter spam in Gmail, by Amazon (AMZN 0.29%) to recommend products to customers, and by Netflix (NFLX 1.28%) to guide content creation and recommendations. More recently, OpenAI's ChatGPT has shown how far generative AI -- a division of artificial intelligence capable of generating texts, images, sounds, and ideas -- has come. It can answer questions directly, write poems, and has even passed bar and medical exams. It has spawned a wave of new generative AI chatbots, including Anthropic's Claude, Alphabet's Gemini, and Meta AI from Meta Platforms (META 0.46%). The potential is enormous. The next frontier for generative AI is AI agents or agentic AI. This is technology allows AI to perform to complete whole tasks without being prompted, such as automated customer service agents. AgentForce from Salesforce (CRM 0.53%) is one example of a new agentic AI tool.
Definition Icon Generative AI Generative AI is a subfield of artificial intelligence (AI) where computer systems create new content.
Some companies also profit directly from AI by selling hardware, software, services, or expertise that the technology requires. These are true AI stocks and include those listed and described below.
5 AI stocks to buy in 2025 5 AI stocks to buy in 2025
Company AI Focus Nvidia (NASDAQ:NVDA) Data center GPUs and superchips. Alphabet (NASDAQ:GOOG) (NASDAQ:GOOGL) Generative AI and self-driving cars. Microsoft (NASDAQ:MSFT) Memory chips for data centers and generative AI tools. CoreWeave (NASDAQ:CRWV) Generative AI-focused cloud infrastructure platform. Meta Platforms (NASDAQ:META) AI chatbots, LLMs, and wearable devices.
1. Nvidia
Leading graphics processing unit (GPU) company Nvidia has taken advantage of the AI boom, with its GPUs becoming the de facto standard in data centers worldwide. Generative AI's training phase demands a lot of computing power; the phase that follows, the inference phase, typically requires less. GPU chips, which were once used primarily for rendering video games, support both phases well. Nvidia's ambitions have gone beyond GPUs, as the company now aims to build AI factories or data centers full of Nvidia components to run AI applications and programming. Nvidia's data center business now makes up the vast majority of the company's revenue, thanks to the emergence of generative AI. Because it sells the building blocks for AI infrastructure, Nvidia became the first major company to see a significant revenue boost from AI. Revenue surged through 2023 and 2024, and the stock has soared as well. It's become the most valuable company in the world on several occasions and was No. 1 in mid-2025. In 2024, full-year revenue jumped 114% to $130.5 billion, driven by the surge in data center demand. Its chips are popular for running demanding workloads that applications like large language models require. The pure-play chip stock is now selling its new Blackwell platform, which major cloud infrastructure services are deploying in 2025, and demand is outstripping supply. Self-driving cars and "physical AI" are other areas of focus. Nvidia develops hardware and software platforms that can power driver-assistance features and fully autonomous driving, which could be a significant source of revenue if that industry takes off. Automotive revenue is only a small fraction of the company's revenue, but that could change. With Tesla (TSLA 1.14%) launching its robotaxi network in Austin, the autonomous vehicle race appears to be heating up, and that should be good news for the semiconductor sector.
A self-driving car must process massive amounts of data from multiple sensors and cameras in real time, detect objects such as pedestrians and other vehicles, and make complex decisions. They require tremendous computing power, which is exactly what Nvidia's platform delivers. Its professional visualization segment, which includes its omniverse, also has potential in AI. Nvidia's chipsets could someday be supplanted by more specialized processors designed for AI, but the company is in an enviable position for now.
2. Alphabet
Alphabet has been preparing for the AI revolution for years, acquiring the AI research lab DeepMind in 2014. It's also among the leaders in autonomous vehicles through its Waymo subsidiary, which is now ferrying passengers in its driverless cars in cities including San Francisco and Phoenix. Alphabet launched Gemini, its own AI chatbot and the latest iteration in its competition with ChatGPT, which some see as a threat to Google Search. So far, concerns about a challenge to its search dominance seem to have been overblown as Alphabet's ad revenue continues to grow steadily. It said that its Gemini 2.5 has been "widely recognized as the best model in the industry." With information at the heart of its business, it's unsurprising that the company has prioritized AI. It's rolled out AI tools for Google Cloud and Google Workspace, including a generative AI assistant that helps write emails. Even its customer acquisition strategy in the cloud is based around AI -- the company has targeted AI start-ups for its cloud infrastructure service. AI also plays a role in improving its search engine and YouTube, where it can pinpoint a relevant section of a video and direct users straight to it. Finally, Alphabet is ramping up spending on capital expenditures with plans to spend $75 billion on AI infrastructure and related needs in 2025.
3. Microsoft
Microsoft has gotten lots of buzz lately thanks to its partnership with OpenAI. The tech giant began investing in the tech start-up in 2019 and invested another $10 billion in OpenAI following the launch of ChatGPT. Microsoft has incorporated GPT features across its product portfolio, including its Azure cloud infrastructure service, Edge web browser, Office productivity software suite, and Copilot for Microsoft 365. Azure OpenAI has seen a particularly strong uptake, now counting more than 65% of the Fortune 500 as customers. CEO Satya Nadella has repeatedly said that he sees AI as the next major computing platform, and the reported $13 billion investment in OpenAI is a sign of the company's conviction in AI and its belief that it needs to lead that transition or get left behind as it did with mobile. More recently, Microsoft has begun diversifying away from OpenAI, adding both internal and third-party models to products like Microsoft 365 Copilot and Azure, including DeepSeek's R1. The long-term implications for its relationship with OpenAI are unclear, but Microsoft seems to think it's wise to hedge its bets in the AI race. Microsoft is also harnessing the power of AI in other ways, including automated clinical documentation in healthcare to reduce paperwork and administrative needs. It's also using Azure to allow customers to build custom AI tools. The company launched Azure AI Foundry in November 2024, which allows its customers to create and manage AI apps and agents. As of April 2025, developers at more than 70,000 companies are using it. 4. CoreWeave
CoreWeave, which had its initial public offering (IPO) in March 2025, may be the closest thing to a pure-play AI stock on the market, and it was the first major AI IPO. Its cloud infrastructure platform was designed specifically for AI, and it counts customers like Nvidia, OpenAI, Meta Platforms, and Microsoft as part of its core customer base; Nvidia and OpenAI are both investors in the company. CoreWeave has grown at an incredible pace over the last three years, going from generating almost nothing in revenue in 2022 to $1.9 billion in revenue in 2024. Between 2022 and 2024, revenue grew by more than 100 times. CoreWeave's business is risky since Microsoft accounted for 62% of its revenue, meaning the business would suffer significantly if Microsoft pulled back on spending with the platform. In its first quarter 2025 report, CoreWeave said that no single company accounted for more than half of its backlog, a sign that its customer concentration is improving. If you're looking for direct exposure to AI, CoreWeave is a good option since essentially all of its revenue is driven by the demand for computing power to run generative AI programs. However, the stock is risky since CoreWeave has a high debt burden, has large capital expenditures, and is deeply unprofitable on a generally accepted accounting principles basis (GAAP).
5. Meta Platforms
Unlike the other big tech companies on this list, Meta Platforms doesn't have a cloud computing business, but the company is investing just as much in AI as peers like Alphabet. Meta AI, the company's chatbot that's available on its apps like Facebook, Instagram, and WhatsApp, now has 1 billion monthly active users as of May, and it continues to update its Llama large language model, which is now up to Llama 4. It's also allowing its advertisers to use AI creative tools for things like background and video generation and ad copy. AI is also involved in ad targeting, and the company aims to fully automate advertising with AI by 2026. Additionally, the company is incorporating AI in its hardware division, including its Ray-Ban smart glasses, which offer a built-in camera, open-ear audio, and a range of hands-free features. Its Meta Quest headsets are also connected to Meta AI, allowing users to tap into the power of AI through those headsets. Management sees AI at the core of its business and driving its transformation across areas like advertising, experiences, and devices.
Machine learning stocks Machine learning stocks All the stocks above use machine learning technologies, but if you're looking for more options, here are two others worth considering: Palantir ( PLTR 4.96%
( Tesla: Best known for its electric vehicles, CEO Elon Musk sees AI as the future of the company, and machine learning and neural networks are very much at the center of the company's autonomous vehicle and Optimus autonomous robot projects. Tesla introduced its driverless Cybercab in October 2024, and the company hopes to begin producing the vehicles by 2026. It launched its robotaxi network in June, though with just a handful of vehicles, and Musk envisions the company expanding to other cities in the near future. Musk has said Tesla's automation technology could make it the most valuable company in the world.
Deep learning stocks Deep learning stocks Deep learning is a subset of machine learning that uses artificial neural networks inspired by the human brain. It's the most advanced kind of AI and is crucial in technologies like self-driving cars. Deep learning is advancing in areas such as preventive healthcare, where predictive algorithms are necessary. It differs from machine learning in that it doesn't require human input. Nvidia is among the companies closely associated with deep learning. Its GPU chips use deep learning to power data centers and enable autonomous driving and cloud computing, among other functions. Alphabet has exposure to deep learning through a number of its businesses, including its autonomous vehicle start-up, Waymo. It also owns DeepMind, a deep learning platform that can diagnose eye diseases, predict the shapes of proteins, and accelerate the scientific discovery process.
Related investing topics
A growth business AI is a growth business According to International Data Corporation, the global artificial intelligence market is expected to grow from $235 billion in 2024 to more than $631 billion in 2028. While the AI market is already large and still growing quickly, plenty of companies can profit from AI. Although picking stocks in a growth industry comes with a lot of uncertainty, these top AI stocks are all worth considering.
FAQ
Artificial intelligence stocks: FAQ What is the best AI stock to buy? angle-down angle-up Artificial intelligence is a fast-moving technology, and AI stocks will likely be volatile as the sector evolves. AI stocks that have attracted the most attention include Nvidia, Microsoft, and Alphabet, but finding the best stock to buy is also a matter of price and valuation, which changes quickly. Is it good to buy Nvidia stock? angle-down angle-up Nvidia has jumped into the lead among semiconductor companies in making AI chips and accelerators, and it has the competitive advantages to help it stay there. The semiconductor sector can also be highly cyclical, and pricing can change rapidly. Additionally, there's the potential for unexpected surprises like the DeepSeek launch, which sent AI stocks like Nvidia plunging. If Nvidia can maintain its lead in AI chips, the stock should continue to be a winner, but it will likely be volatile since the AI landscape is still developing. What is the biggest AI company? angle-down angle-up Currently, the biggest company that has made AI central to its business model is Nvidia, with a market cap that has soared past $3 trillion. The tech giant is at the center of the AI revolution as its components are fueling AI applications and are in high demand by major cloud infrastructure companies and others. Is AI good for investing? angle-down angle-up Artificial intelligence is likely to shake up the economy and the business world, creating opportunities in the stock market. Whether AI is good for investing will depend on the company, but there will be winners from the new technology. What company is No. 1 in AI? angle-down angle-up Currently, Nvidia is broadly considered the leader in AI technology. The company has a monopoly-like market share in the data center GPU market, and its revenue has more than tripled since ChatGPT launched. Nvidia isn't guaranteed to remain the leader, though. Competition is on the way, and new technologies can change quickly. Will AI start-ups challenge tech giants? angle-down angle-up Tech giants aren't feeling a significant threat from start-ups yet, but there are some signs that competition is on the rise. Alphabet stock, for example, fell when Apple said it was considering making AI search engines available on Safari, directly competing with Google. The tensions between OpenAI and Microsoft also show that start-ups could begin to pose more of a threat to the "Magnificent Seven" stocks, though they are unlikely to derail their growth.
| 2022-12-01T00:00:00 |
https://www.fool.com/investing/stock-market/market-sectors/information-technology/ai-stocks/
|
[
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"position": 96,
"query": "AI employers"
},
{
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"position": 96,
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},
{
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},
{
"date": "2023/11/25",
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},
{
"date": "2025/07/01",
"position": 76,
"query": "artificial intelligence employers"
},
{
"date": "2025/07/01",
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},
{
"date": "2025/07/01",
"position": 82,
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},
{
"date": "2025/07/01",
"position": 80,
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},
{
"date": "2025/07/01",
"position": 73,
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}
] |
|
Top Boston, MA AI Companies 2025 | Built In
|
Top Boston, MA AI Companies 2025
|
https://www.builtinboston.com
|
[] |
Top Boston, MA AI Companies (272) · SOPHiA GENETICS · Kensho Technologies · PwC · Skillsoft · Anduril · SquareWorks Consulting · Qualtrics · MORSE Corp.
|
Artificial Intelligence • Machine Learning • Software
6 Offices 200 Employees
Altana is the world’s first Value Chain Management System, a collaborative, public-private network that enables customers to take command of their extended supplier and distribution networks from raw material origins to the sale of finished products. By applying artificial intelligence to the world’s largest body of supply chain data, Altana reveals these previously opaque global networks and powers workflows across them. Customers like Boston Scientific, L.L.Bean, Maersk, US Customs and Border Protection, and the UK Department of Business and Trade use Altana to build secure, resilient, efficient, and sustainable global value chains. We have built a fundamental understanding of how the world’s economy works, and the implications for global resiliency, sustainability and opportunity are enormous. Backed by leading investors and used by the world’s most important organizations, Altana’s mission is to power a new era of globalization organized around trusted value chain networks. This is a lofty mission, and our success depends on building a diverse, global team and creating an environment in which they can thrive. We operate in accordance with our values: we embrace reality as we work to change it; we focus on value creation, not capture; we foster diversity and embrace difference; and, we go on offense. When you join Altana, you’ll be joining a vibrant, collaborative team working together to solve complex problems with the potential for global societal impact.
| 2022-12-01T00:00:00 |
https://www.builtinboston.com/companies/type/artificial-intelligence-companies
|
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{
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{
"date": "2024/05/01",
"position": 46,
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},
{
"date": "2024/07/01",
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{
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{
"date": "2024/09/01",
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{
"date": "2024/10/01",
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{
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{
"date": "2024/11/01",
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{
"date": "2024/12/01",
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},
{
"date": "2024/12/01",
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},
{
"date": "2025/01/01",
"position": 42,
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{
"date": "2025/03/01",
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{
"date": "2025/04/01",
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{
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] |
|
AI for Business Leaders by Allie K. Miller on Maven
|
AI for Business Leaders by Allie K. Miller on Maven
|
https://maven.com
|
[] |
#1 AI Business Course. AI leadership essentials in 40 pre-recorded modules + three live webinars to build a stronger org in the AI age.
|
In today's rapidly shifting business landscape, the integration of artificial intelligence (AI) is more than a trend; it's a fundamental shift shaping the future of industries worldwide.
In fact, a 2023 study from Accenture found that 3 out of 4 C-suite executives believe that if they don’t scale artificial intelligence in the next five years, they risk going out of business entirely.
Navigating this new age doesn't just take technical guidance; it takes strategic and human-centric leadership, a clear vision, and the ability to manage teams effectively.
That's where "AI for Business Leaders" comes in.
Over the span of 35 pre-recorded modules, 4 pre-recorded guest modules, and two 1-hour live Q&A sessions, you'll be guided through an exciting exploration tailored specifically for business leaders and executives like you.
Here's what you can expect:
• Contextualizing AI into your business and the environment today
• Finding your first AI use case
• Methods to evaluate and prioritize use cases
• My favorite AI examples for enterprise and personal productivity
• Real-world tactics of ML execution, including business trade-offs
• Change management for AI
• Responsible AI deployment and risk mitigation
• How building responsible AI can enhance customer trust and value
• My favorite AI tools and resources for business leaders
• Curated daily AI briefings
Plus free access to the Enterprise AI Mastery Toolkit (a $499 value): over 60 interactive pages of worksheets and resources on how to create your first AI use case, build a responsible AI policy, become a stronger AI leader, implementation strategies, and more. This is the exact toolkit used by all of Allie's clients.
In addition to Allie, this course features six world-class guest speakers who have built multi-billion dollar AI businesses, led global teams working on the most innovative new technologies, and changed the world:
• Adam Cheyer, co-founder of Siri (acq. by Apple) and Viv (acq. by Samsung) and GamePlanner AI (acq. by Airbnb), and founding team at Change.org
• Angela Shen-Hsieh, 20-year tech and AI executive, with deep experience in the US and Europe, former IBM and Telefonica
• Brad Lightcap, Chief Operations Officer (COO) at OpenAI and former investor at Y Combinator
• Navrina Singh, CEO of Credo AI (top AI governance tool) and White House Advisor (NAIAC)
• Matt Shumer, CEO of Otherside AI, a global agentic AI startup with million of users
• Mike Krieger, Chief Product Officer of Anthropic, co-founder of Instagram
• With New Guest Speaker: Mustafa Suleyman, CEO of Microsoft AI, co-founder of DeepMind and Inflection AI
Plus, two one-hour live Q&As with Allie and her senior machine learning fellow with deep AI experience at Meta and Stitch Fix to answer all of your burning questions.
This course is designed to be a well-rounded approach to AI learning, and will include slide presentations, insightful leaders, a live Q&A, hands-on worksheets and resources, and community networking.
All sessions are recorded, so no matter where you are, no matter what timezone you're in, you can learn the fundamentals of leadership in the AI age.
Interested in an enterprise license so your whole leadership team or company can take the course? Please reach out directly to [email protected]
| 2022-12-01T00:00:00 |
https://maven.com/alliekmiller/ai-for-business-leaders
|
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{
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{
"date": "2023/12/01",
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},
{
"date": "2024/01/01",
"position": 1,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
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"query": "artificial intelligence business leaders"
},
{
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{
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{
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{
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{
"date": "2024/10/01",
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{
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{
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{
"date": "2024/11/01",
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},
{
"date": "2024/12/01",
"position": 1,
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},
{
"date": "2025/01/01",
"position": 1,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 3,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 1,
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},
{
"date": "2025/02/01",
"position": 6,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 1,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 6,
"query": "artificial intelligence business leaders"
}
] |
|
AI for Business Leaders - Learn AI - AWS
|
AI for Business Leaders
|
https://aws.amazon.com
|
[] |
Discover curated artificial intelligence (AI) trainings for business leaders, technical leads, and executives. Gain experience with generative AI.
|
For leaders making strategic business decisions and steering their organization’s future. Find resources to understand how the technology can benefit your organization and how you can upskill your workforce to quickly bridge the skills gap.
| 2022-12-01T00:00:00 |
https://aws.amazon.com/ai/learn/organizational-leader/
|
[
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{
"date": "2023/01/01",
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"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 1,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/03/01",
"position": 3,
"query": "AI business leaders"
},
{
"date": "2023/04/01",
"position": 3,
"query": "AI business leaders"
},
{
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},
{
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{
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{
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{
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{
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{
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},
{
"date": "2024/01/01",
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},
{
"date": "2024/02/01",
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{
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},
{
"date": "2024/05/01",
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},
{
"date": "2024/06/28",
"position": 2,
"query": "AI business leaders"
},
{
"date": "2024/06/28",
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},
{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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},
{
"date": "2025/01/01",
"position": 3,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 2,
"query": "artificial intelligence business leaders"
}
] |
|
UT Austin Artificial Intelligence (AI) for Leaders & Managers
|
UT Austin Artificial Intelligence (AI) for Leaders & Managers
|
https://onlineexeced.mccombs.utexas.edu
|
[] |
The AI for Leaders program is an online course that empowers business leaders to leverage the power of AI and Generative AI in strategic decision making.
|
Artificial Intelligence for Leaders was one of the best programs in my professional career.
Artificial Intelligence for Leaders was one of the best programs I took in the last decade of my professional career. The program offered a lot of content if one was willing to explore all the resources included. I enjoyed the Cohorts and Industry sessions. The program pace was intense, as expected, and required rigorous study to develop a good understanding of current trends in the Artificial Intelligence and Machine Learning domain. Anyone interested in Artificial Intelligence and Machine Learning should have started here. The support system was beneficial and prompt. I would love to take another program with Great Learning in the future.
Read More
| 2022-12-01T00:00:00 |
https://onlineexeced.mccombs.utexas.edu/ai-for-business-leaders-course
|
[
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{
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{
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{
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{
"date": "2025/01/01",
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{
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{
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{
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{
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},
{
"date": "2025/06/01",
"position": 4,
"query": "artificial intelligence business leaders"
}
] |
|
Applied Artificial Intelligence: A Handbook For Business Leaders
|
Amazon.com
|
https://www.amazon.com
|
[] |
This book is focused on helping you drive concrete business decisions through applications of artificial intelligence and machine learning.
|
Click the button below to continue shopping
| 2022-12-01T00:00:00 |
https://www.amazon.com/Applied-Artificial-Intelligence-Handbook-Business/dp/0998289027
|
[
{
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"position": 6,
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},
{
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},
{
"date": "2023/02/01",
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},
{
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},
{
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{
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{
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{
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{
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{
"date": "2023/11/01",
"position": 9,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 9,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 6,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 9,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 9,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/03/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2024/05/01",
"position": 9,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 6,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 9,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/08/01",
"position": 9,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 9,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 6,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 9,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 6,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 9,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 6,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 9,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 8,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 3,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 3,
"query": "artificial intelligence business leaders"
}
] |
|
AI Strategy for Business Leaders Certificate Program
|
AI Strategy for Business Leaders Certificate Program
|
https://business.fiu.edu
|
[
"Florida International University - Digital Communications"
] |
This program will help you build a deeper understanding of the possibilities and strategic applications of revolutionary technologies.
|
With advancements in machine learning, automation, and natural language processing, artificial intelligence (AI) is revolutionizing traditional business models in unprecedented ways and is poised to drive a new wave of innovation across industries.
FIU Executive Education's AI Strategy for Business Leaders Certificate Program is designed for business leaders who seek to capitalize on artificial intelligence to improve their businesses and gain competitive advantage. Leveraging the prowess of FIU College of Business’ Department of Information Systems and Business Analytics, this program will help you build a deeper understanding of the possibilities and strategic applications of revolutionary technologies.
Who Will Benefit
Business leaders at the manager or above level, FIU students and anyone desiring to understand and apply AI in a business environment.
Learning Objectives
Understand the critical role of big data in empowering AI technologies, and how it’s driving the future of business.
Learn how algorithms are trained to make predictions and decisions based on data.
Explore various applications of machine learning in business scenarios.
Dive into deep learning as a key driver of AI innovation in various applications showcasing its transformative impact across different business sectors.
Develop strategies for implementing computer vision and natural language processing solutions to solve real-world business challenges, enhance operational efficiency and create new opportunities.
Explore robot-driven business automation, examine applications in both industrial and consumer applications and analyze their impacts on various business functions.
Assess business needs for robotic integration and explore future trends in robotics affecting business process automation for digital transformation.
Understand the ethical considerations in AI, including bias, fairness, and societal impacts, and learn how to develop AI solutions responsibly.
Empower yourself with the necessary cyber defense skills to effectively use AI and manage risks associated with AI systems.
Discover the key elements of a robust AI strategy that connects to enterprise goals.
Learn about the components of the AI Factory and the infrastructure necessary to implement your AI strategy.
Arm yourself with practical approaches to applying algorithms and models in real-world scenarios, ensuring that AI initiatives align with business goals and deliver measurable outcomes.
General Information/Custom Programs: FIU Business Executive Education can create custom training programs specific to the needs of your organization. Please connect with us by submitting the inquiry form below or contact us 305.348.4217 or [email protected].
| 2022-12-01T00:00:00 |
https://business.fiu.edu/academics/executive-education/ai-strategy-for-business-leaders/
|
[
{
"date": "2022/12/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 11,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/03/01",
"position": 5,
"query": "AI business leaders"
},
{
"date": "2023/04/01",
"position": 5,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 11,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/06/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 11,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/08/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 11,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 11,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/03/01",
"position": 5,
"query": "AI business leaders"
},
{
"date": "2024/05/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 11,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 8,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 8,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 11,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 10,
"query": "artificial intelligence business leaders"
}
] |
|
AI Strategy for Business Leaders: From Hype to Impact
|
AI Strategy for Business Leaders: From Hype to Impact - Professional & Executive Development
|
https://professional.dce.harvard.edu
|
[] |
This program is designed to equip you with the knowledge and skills to navigate and leverage the AI landscape in the global business context.
|
Artificial Intelligence (AI) is a catalyst for innovation and value creation across diverse industries, fundamentally transforming the way we work. Organizations equipped to harness the power of AI will not only thrive but also lead the way in redefining their industries. Those who remain unprepared risk obsolescence in this rapidly evolving digital era.
By strategically leveraging AI across the enterprise, including advanced tools like large language models and generative capabilities, organizations can unlock significant gains in efficiency and heighten competitiveness. This transforms the competitive landscape and unveils new growth prospects for businesses that successfully incorporate AI into their operations. However, true AI success depends on a combination of strategic thinking and responsible adoption — all of which benefit from effective leadership in an AI-driven world.
This program is designed to equip you with the knowledge and skills to navigate and leverage the AI landscape from a strategic, managerial perspective. We will explore the implications, applications, and opportunities of cutting-edge emerging technologies, including Generative AI, across industries. Through real-world case studies and interactive discussions, you will develop the strategic mindset needed to lead AI initiatives within your organization, focusing on the “why” and “when” rather than the technical “how.” By the end of the program, you will be empowered to discern when and how to adopt AI-driven solutions for strategic advantage in your organization.
Note: The program explores AI from a managerial perspective. This is not a technical program; IT and coding expertise are not required.
Program Benefits
Identify and capitalize on strategic opportunities for AI-powered automation and digitization
Develop the ability to assess the uncertainty, ambiguity, and challenges of artificial intelligence
Envision and articulate the transformative potential of AI for your business
Transform AI concepts and frameworks into practical applications
Develop a robust, actionable agenda for ongoing AI experimentation that is both defensible and strategically focused
Earn a Certificate of Completion from the Harvard Division of Continuing Education
Who Should Enroll
If you work closely with technologies and want to understand how AI and machine learning will transform the business environment in the coming years, this program is for you.
This program is designed for professionals directly involved in shaping their organization’s core AI strategy and roadmap. It is particularly beneficial for leaders integrating and scaling AI initiatives across various functional areas such as operations, marketing, product management, human resources, supply chain management, and strategy.
Note: As this is a managerial program, the curriculum focuses on strategic insights rather than technical details.
Topics Covered
| 2022-12-01T00:00:00 |
https://professional.dce.harvard.edu/programs/ai-strategy-for-business-leaders/
|
[
{
"date": "2022/12/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 5,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/03/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2023/04/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 6,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/06/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 6,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/08/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 6,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 6,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 6,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 6,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/03/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2024/05/01",
"position": 6,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 6,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/08/01",
"position": 6,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 11,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 6,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 6,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 6,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 9,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 10,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 6,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 5,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 1,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 5,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 1,
"query": "artificial intelligence business leaders"
}
] |
|
Artificial Intelligence: Implications for Business Strategy | MIT Sloan ...
|
Artificial Intelligence: Implications for Business Strategy
|
https://executive.mit.edu
|
[] |
This course challenges common misconceptions surrounding AI and will equip and encourage you to embrace AI as part of a transformative toolkit.
|
This online program from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) challenges common misconceptions surrounding AI and will equip and encourage you to embrace AI as part of a transformative toolkit. With a focus on the organizational and managerial implications of these technologies, rather than on their technical aspects, you’ll leave this course armed with the knowledge and confidence you need to pioneer its successful integration in business. Our curriculum has recently been refreshed to include the most modern and in-demand AI skills that allows our learners to meet growing demand for AI professionals.
What is artificial intelligence (AI)? What does it mean for business? And how can your company take advantage of it? This online program, designed by the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), will help you answer these questions.
Through an engaging mix of introductions to key technologies, business insights, case examples, and your own business-focused project, your learning journey will bring into sharp focus the reality of central AI technologies today and how they can be harnessed to support your business needs.
Focusing on key AI technologies, such as machine learning, natural language processing, generative AI, and robotics, the course will help you understand the implications of these new technologies for business strategy, as well as the economic and societal issues they raise. MIT expert instructors examine how artificial intelligence will complement and strengthen our workforce rather than just eliminate jobs. Additionally, the program will emphasize how the collective intelligence of people and computers together can solve business problems that not long ago were considered impossible.
| 2022-12-01T00:00:00 |
https://executive.mit.edu/course/artificial-intelligence/a056g00000URaa3AAD.html
|
[
{
"date": "2022/12/01",
"position": 12,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 12,
"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/04/01",
"position": 12,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 13,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/06/01",
"position": 13,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/08/01",
"position": 13,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 13,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 11,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 13,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 11,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/01",
"position": 11,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 13,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/08/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 17,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 11,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 13,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 11,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 13,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 11,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 13,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 10,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 10,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 8,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 10,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 8,
"query": "artificial intelligence business leaders"
}
] |
|
Artificial Intelligence for Business Leaders | Smith School
|
Artificial Intelligence for Business Leaders
|
https://www.rhsmith.umd.edu
|
[] |
The Smith AI for Business Leaders program is designed for business leaders who seek to leverage AI/ML to improve their businesses.
|
Program Description
The advent of Artificial Intelligence (AI) and Machine Learning (ML) has greatly altered the way we view and conduct business. AI provides business leaders with powerful new tools to understand and prioritize operations and leverage data in decision-making. The promise of AI/ML is in fully realizing the rapid pace of technological change and the constantly evolving set of interpretation methods available to business leaders.
The Smith AI for Business Leaders program is designed for business leaders who seek to leverage AI/ML to improve their businesses. The goal is to help you build a deeper appreciation for the possibilities of AI while recognizing its limitations and potential pitfalls. We will walk you through a series of domain-driven applications of AI. We will leverage the expertise and research prowess of Smith’s faculty to examine the role AI plays in the domains of Supply Chain, Healthcare, Finance, Marketing, and People Analytics. While the domains are specific, the applicability of the concepts is broad to cover all business areas.
| 2022-12-01T00:00:00 |
https://www.rhsmith.umd.edu/programs/executive-education/learning-opportunities-individuals/ai-business
|
[
{
"date": "2022/12/01",
"position": 13,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 13,
"query": "AI business leaders"
},
{
"date": "2023/04/01",
"position": 13,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 11,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 11,
"query": "AI business leaders"
},
{
"date": "2023/08/01",
"position": 11,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 11,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 11,
"query": "AI business leaders"
},
{
"date": "2024/03/01",
"position": 10,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 11,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 12,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 11,
"query": "AI business leaders"
},
{
"date": "2024/12/01",
"position": 11,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 15,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 12,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 12,
"query": "AI business leaders"
}
] |
|
Generative AI for Business Leaders | UW's Global Innovation ...
|
Generative AI for Business Leaders
|
https://gix.uw.edu
|
[] |
This three-day, in-person program equips business leaders with a deep understanding of the applications and implications of GenAI for their teams, firms, and ...
|
Day 1: Executive Introduction to the Technology Understand the background, history, and context of GenAI. Learn how large language models (LLMs) work, what they can do, and their limitations. Guided hands-on activities may include practicing how to work with publicly available models for your business problems. Throughout the day, lessons from the technology revolutions of the past will be used to understand GenAI’s evolution to date and the potential ahead.
Day 2: Impact on Business: Building Strategic Advantages through GenAI
Explore how GenAI may transform, accelerate, and impact the business landscape. Learn what lessons the technologies of the past offer for how GenAI’s use is likely to evolve at the individual, team, firm, and industry levels. Examine how this is likely to reshape competitive advantages and how to begin building your GenAI capability. Exercises throughout the day will explore how to begin using GenAI today, without coding, to address common business opportunities.
Day 3: Legal and Ethical Implications and Future of GenAI
Learn about the cutting edge of legal and ethical topics for GenAI including: copyright, privacy, liability and risk management. Reflect on how these are relevant to your business and how to plan a process that addresses these issues. A panel discussion with academic and industry thought leaders will lead the group in considering emerging applications and potential downstream implications.
| 2022-12-01T00:00:00 |
https://gix.uw.edu/professional/generative-ai-for-business-leaders
|
[
{
"date": "2022/12/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 15,
"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 54,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/04/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 59,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/06/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 54,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/08/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 59,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/08",
"position": 3,
"query": "AI business leaders"
},
{
"date": "2023/12/01",
"position": 52,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 51,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 57,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/01",
"position": 54,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 54,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 22,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 54,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 54,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 54,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 54,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 17,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 21,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 21,
"query": "artificial intelligence business leaders"
}
] |
|
Transform your business with Microsoft AI AI-3017 - Training
|
Transform your business with Microsoft AI AI-3017 - Training
|
https://learn.microsoft.com
|
[] |
In this learning path, business leaders will find the knowledge and resources to adopt AI in their organizations. It explores planning, strategizing, and ...
|
This module is designed to help you adopt responsible AI practices. It offers an overview of the principles, governance system, and procedures followed at Microsoft, but we encourage you to develop your own AI strategy.
| 2022-12-01T00:00:00 |
https://learn.microsoft.com/en-us/training/paths/transform-your-business-with-microsoft-ai/
|
[
{
"date": "2022/12/01",
"position": 17,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 15,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/04/01",
"position": 14,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 14,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 13,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/06/01",
"position": 14,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 13,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/08/01",
"position": 14,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 14,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 13,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 13,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 14,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 13,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 13,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/01",
"position": 12,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 14,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 13,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 12,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 14,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 12,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 14,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 12,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 14,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 17,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 13,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 13,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 18,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 13,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 18,
"query": "artificial intelligence business leaders"
}
] |
|
Leveraging Multi-sided Platforms with AI for Business Leaders
|
Leveraging Multi-sided Platforms with AI for Business Leaders - Professional & Executive Development
|
https://professional.dce.harvard.edu
|
[] |
This program provides business leaders with practical, actionable insights into how to harness the power of platforms and AI to drive growth, innovation, and ...
|
Platforms are reshaping industries, creating new opportunities, and challenging traditional business models. Multi-sided platforms — businesses that connect users across different groups to generate value — are driving this transformation. Simultaneously, artificial intelligence (AI) is amplifying the impact of platforms, enabling faster scaling, enhanced efficiency, and innovative revenue streams. For business leaders, understanding how to strategically harness the power of AI-enhanced platforms is critical to staying competitive in this evolving landscape.
This program equips leaders with the tools and knowledge to drive transformation within their organizations by designing, scaling, and leading platform-based business models. We focus on developing the strategic mindset needed to innovatively lead in an increasingly platform-driven world. You’ll gain practical insights into how AI can amplify platform performance and uncover new opportunities for growth while honing the leadership skills necessary to steer your organization through growth and disruption.
In addition, leaders of traditional, non-platform businesses will gain valuable strategies to anticipate and respond to the competitive challenges posed by platform-driven disruptors, ensuring their organizations remain agile and resilient.
In this hands-on, strategy-focused program, you will gain critical insights from detailed case studies and simulations created by industry experts and successful innovators. Whether you operate in a traditional B2B or B2C business, or lead in an emerging sector, you’ll discover how to harness platforms to deliver lasting value and competitive advantage.
Program Benefits
Develop the skills needed to design, test, and grow multi-sided platform businesses in your industry.
Explore how AI can improve platform performance, enhance user engagement, and unlock new revenue streams.
Identify the optimal route to test, launch, and grow a new revenue model.
Prepare your business to face competition from AI-powered platform companies and Web3-powered decentralized entities.
Anticipate the future trajectory of industries as AI and platforms continue to reshape global markets.
Participants will also earn a Certificate of Completion from the Harvard Division of Continuing Education, further validating their expertise.
Who Should Enroll
As platforms continue to reshape industries, leaders must adapt to stay competitive. This program provides business leaders with practical, actionable insights into how to harness the power of platforms and AI to drive growth, innovation, and lasting success.
It is ideal for:
B2B and B2C executives seeking to innovate and adapt their business models in response to platform-driven disruption.
Leaders responsible for strategy, product development, or innovation who want to drive growth and transformation.
Technologists, marketers, and investors engaged in platform-based ventures looking to maximize returns and scalability.
Leaders of traditional, non-platform businesses who need to anticipate and respond to the competitive challenges posed by platform-based competitors.
Whether you are leading a traditional enterprise or an emerging business, this program will equip you with the strategic mindset and leadership skills needed to navigate the platform economy and succeed in a rapidly evolving market.
Topics Covered
AI-Driven Platform Growth: The power, limits, and trajectory of AI as a driver of innovation and revenue.
The power, limits, and trajectory of AI as a driver of innovation and revenue. Building and Scaling Multi-Sided Platforms: Key functions every platform must perform to deliver value and sustain growth.
Key functions every platform must perform to deliver value and sustain growth. The Power of Network Effects: Learn how a platform’s value grows as more users join, creating a self-reinforcing cycle of engagement, scalability, and market dominance.
Learn how a platform’s value grows as more users join, creating a self-reinforcing cycle of engagement, scalability, and market dominance. Competing with Platforms: Actionable strategies to help traditional companies thrive in a platform-driven economy by countering platform competition.
Format
The interactive online sessions will be a mix of small group exercises, plenary debates, and simulations.
Participants will prepare for each online session by watching pre-recorded lectures and interviews highlighting one or more case studies with platform founders. These videos must be previewed prior to the online sessions.
| 2022-12-01T00:00:00 |
https://professional.dce.harvard.edu/programs/ai-multi-sided-platforms/
|
[
{
"date": "2022/12/01",
"position": 18,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 19,
"query": "AI business leaders"
},
{
"date": "2023/04/01",
"position": 19,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 19,
"query": "AI business leaders"
},
{
"date": "2023/08/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 27,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2024/12/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2024/12/15",
"position": 3,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/01/01",
"position": 25,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 23,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 23,
"query": "AI business leaders"
}
] |
|
AI for Business Leaders on Maven | Unlock your career growth
|
AI for Business Leaders on Maven
|
https://maven.com
|
[] |
Courses that explore how AI can be leveraged in organizations to drive efficiency, build inclusive solutions, and enhance decision-making.
|
AI for Business Leaders
Courses that explore how AI can be leveraged in organizations to drive efficiency, build inclusive solutions, and enhance decision-making. Learn about the opportunities and challenges of AI implementation, navigate change management, and gain practical guidance for leading AI-powered futures. Topics covered include AI strategy, responsible AI deployment, evaluating use cases, operationalizing AI, and understanding the business context of AI. Gain insights from industry leaders, case studies, and real-world tactics for successful AI adoption.
| 2022-12-01T00:00:00 |
https://maven.com/courses/ai-for-business-leaders
|
[
{
"date": "2022/12/01",
"position": 19,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 22,
"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 24,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/04/01",
"position": 21,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 21,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 21,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/06/01",
"position": 18,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 22,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/08/01",
"position": 21,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 21,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 22,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 24,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 21,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 22,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 22,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/01",
"position": 23,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 21,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 23,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 25,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 23,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 21,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 23,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 21,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 23,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 21,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 23,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 23,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 27,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 36,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 33,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 36,
"query": "artificial intelligence business leaders"
}
] |
|
The Business of AI: Strategies for Leaders- Online
|
The Business of AI: Strategies for Leaders- Online
|
https://www.london.edu
|
[] |
The course is designed for executives and mid-to-senior-level managers with eight or more years of experience in management and leadership.
|
The course is designed for executives and mid-to-senior-level managers with eight or more years of experience in management and leadership.
You may be head of a business unit or managing a team at a functional level and tasked with improving business performance in your division. Those who will benefit may include:
| 2022-12-01T00:00:00 |
https://www.london.edu/lbs-online/the-business-of-ai-strategies-for-leaders
|
[
{
"date": "2022/12/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 17,
"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 17,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/04/01",
"position": 18,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 18,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 17,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/06/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 17,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/08/01",
"position": 18,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 18,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 16,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 16,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 18,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 17,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 17,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/01",
"position": 16,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 18,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 17,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 30,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 16,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 18,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 16,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 18,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 16,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 18,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 27,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 17,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 16,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 17,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 15,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 17,
"query": "artificial intelligence business leaders"
}
] |
|
AI for Organizational Leaders by Microsoft and LinkedIn Learning Path
|
AI for Organizational Leaders by Microsoft and LinkedIn Learning Path
|
https://www.linkedin.com
|
[] |
In this learning path, you'll learn how to make informed decisions about AI adoption and application as an organizational leader.
|
In this learning path, you'll learn how to make informed decisions about AI adoption and application as an organizational leader. You'll evaluate the business implications of generative AI and learn how to integrate AI into business strategy, lead responsible AI, build organization-wide AI aptitude, and drive long-term business growth in the age of AI.
Plan for AI adoption and application in your organization.
Integrate AI into your business strategy.
Adopt responsible AI practices.
Build organization-wide AI aptitude.
| 2022-12-01T00:00:00 |
https://www.linkedin.com/learning/paths/ai-for-organizational-leaders-by-microsoft-and-linkedin
|
[
{
"date": "2022/12/01",
"position": 21,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 21,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/04/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 19,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 20,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/06/01",
"position": 21,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 20,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/08/01",
"position": 19,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 19,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 18,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 21,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 19,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 21,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 21,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/03",
"position": 10,
"query": "AI business leaders"
},
{
"date": "2024/05/01",
"position": 21,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 19,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 21,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 50,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 21,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 19,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 21,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 19,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 21,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 19,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 46,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 21,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 14,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 15,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 14,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 15,
"query": "artificial intelligence business leaders"
}
] |
|
Micro-Credential in AI for Business Leaders
|
Micro-Credential in AI for Business Leaders
|
https://asb.edu.my
|
[] |
This course is designed for forward-thinking business leaders who seek to understand Artificial Intelligence (AI) and its transformative impact on the business ...
|
Diving deeper, the course offers a primer on foundational AI concepts, including neural networks, convolutional neural networks, text embeddings, clustering, transformers, and large language models (LLMs). While the technical aspects are simplified for a business- oriented audience, you will gain enough understanding to effectively communicate with technical teams and leverage AI in business contexts. A significant focus will be on the application of LLMs to solve real-world business challenges.
By the end of this course, you will not only have a thorough understanding of AI technologies but also possess the strategic mindset to lead AI initiatives and drive innovation in your organization. Whether you are aspiring to be a C-suite executive, an entrepreneur, or a business strategist, this course will equip you with the knowledge and skills to succeed in the AI-augmented business landscape.
The course integrates pre-recorded video lectures with interactive live sessions to provide an engaging and hands-on learning experience, making it accessible and enjoyable for non-technical beginners in AI.
| 2022-12-01T00:00:00 |
https://asb.edu.my/ace/ai-for-business-leaders/
|
[
{
"date": "2022/12/01",
"position": 25,
"query": "AI business leaders"
},
{
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{
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{
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{
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{
"date": "2023/06/01",
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},
{
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{
"date": "2023/08/01",
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},
{
"date": "2023/11/01",
"position": 23,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 32,
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},
{
"date": "2023/12/01",
"position": 32,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 22,
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},
{
"date": "2024/01/01",
"position": 31,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 32,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/01",
"position": 31,
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},
{
"date": "2024/07/01",
"position": 23,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 31,
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},
{
"date": "2024/09/01",
"position": 39,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 31,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 24,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 31,
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},
{
"date": "2024/11/01",
"position": 23,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 31,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 23,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 32,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 31,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 30,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 39,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 26,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 39,
"query": "artificial intelligence business leaders"
}
] |
|
AI-Business & Leadership - Brown University
|
AI-Business & Leadership
|
https://programs.professional.brown.edu
|
[] |
This transformative learning experience enables you to apply AI fundamentals to real case studies of tech-driven business transformation initiatives.
|
By clicking the button below, you are granting School of Professional Studies at Brown University permission to contact you with updates about new programs by email, telephone, WhatsApp, or SMS. You may unsubscribe or update your email preferences via the link found at the bottom of every email at any time. Courses sponsored by third parties, including employers, are subject to additional terms and conditions of service. View our terms and privacy policy.
| 2022-12-01T00:00:00 |
https://programs.professional.brown.edu/ai-business-leadership
|
[
{
"date": "2022/12/01",
"position": 31,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 26,
"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 84,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/04/01",
"position": 28,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 28,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 78,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/06/01",
"position": 27,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 80,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/08/01",
"position": 28,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 28,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 82,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 82,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 28,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 78,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 76,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/01",
"position": 84,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 28,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 84,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 35,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 84,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 22,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 84,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 28,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 84,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 28,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 31,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 84,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 29,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 24,
"query": "AI business leaders"
}
] |
|
Generative AI for Business Leaders - Course Catalog - Harvard ...
|
Generative AI for Business Leaders
|
https://www.hbs.edu
|
[] |
This course is designed to enrich your understanding and prepare you for leadership in the GenAI-driven business landscape.
|
Course Number 1301
Course Overview
Generative AI (GenAI) stands at the forefront of a technological revolution, poised to redefine how businesses operate and deliver value. This course delves into critical questions at the heart of this transformation: How will GenAI reshape modern enterprise? What strategies should businesses adopt to integrate this technology effectively? How can existing data be leveraged to unlock new opportunities? What are the ethical and regulatory issues to consider?
These questions are pivotal whether you aspire to be a corporate innovator driving AI initiatives or a startup founder focused on the burgeoning GenAI market. Understanding the complexities of GenAI goes beyond using ChatGPT-type applications and prompt engineering. It requires immersive engagement in building with the technology, putting oneself in the decision-maker's shoes, and grappling with how GenAI can solve business challenges and opportunities.
This course offers an active learning environment where you will explore these questions through hands-on experience, directly linking conceptual understanding to business use cases. Whether you are a GenAI novice or possess some technical knowledge, this course is designed to enrich your understanding and prepare you for leadership in the GenAI-driven business landscape. You don’t need to know coding to take this class.
Educational Objectives
Our goal in this course is to deep dive into how Generative AI technology is driving rapid change across industries, companies, and business functions. We will examine this in a few different ways:
Gain a good understanding of the technology and how it works. You'll do this by build a production scale Gen AI application using a no code platform. The HBS digital transformation (DTX) team will assist in the delivery fot he project.
Learn about the basic foundations of the technology as well as the latest developments such as agentic applications, etc.
A strategic focus on how Gen AI has the potential to disrupt business models. How can businesses improve productivity and efficiency using Gen AI? How can businesses innovate using gen AI?
How are business functions changing because of Gen AI? We'll focus on marketing, consulting, R&D, etc.
Gen AI is influencing a wide range of industries. We'll identify drivers of change across a range of industries (e.g., professional services, news media, education, advertising, software, and healthcare).
Governance of Gen AI, risk management, responsible and ethical AI issues.
Implications for Start-Ups and early stage investors. How to build and scale a Gen AI start-up and how to develop an investment thesis (whether as a VC or as a founder) for an early stage company.
Emerging trends, ecosystems, and shifts poised to shape the next era of generative AI.
The cases and protagonists are selected to highlight how organizations are using Gen-AI to boost efficiency, personalization, and innovation. These include large companies and start-ups.
Hands-on Projects
You will do a project designed to give you hands-on practice in learning how the technology works and how to build applications. The project is geared to proving you the capabilities to become an effective Gen AI product manager. You'll also do assignments geared to giving you the tools to do any professional work better and faster using the latest Gen AI tools. The final course project will allow you to apply the learnings from the course in a comprehensive setting to analyze the impact of Gen AI for a company or business function.
You will have access to HBS Enterprise GPT account and no code Gen AI builder tools for the course project.
Classroom Conduct and Grading Guidelines
I expect full attendance by all students in all sessions. We only have 12 sessions for a packed agenda of content.
The grading distribution is as follows:
Grading:
50% class participation
50% project
The use of generative AI is not just encouraged but required for class preparation and all class assignments.
Copyright © 2024 President & Fellows of Harvard College. All Rights Reserved.
| 2022-12-01T00:00:00 |
https://www.hbs.edu/coursecatalog/1301.html
|
[
{
"date": "2022/12/01",
"position": 32,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 31,
"query": "AI business leaders"
},
{
"date": "2023/04/01",
"position": 29,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 29,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 31,
"query": "AI business leaders"
},
{
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"position": 29,
"query": "AI business leaders"
},
{
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"position": 29,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 29,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 29,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 49,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 30,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 29,
"query": "AI business leaders"
},
{
"date": "2024/12/01",
"position": 29,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 35,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 25,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 21,
"query": "AI business leaders"
}
] |
|
Artificial Intelligence for Business - Wharton Executive Education
|
AI for Business
|
https://executiveeducation.wharton.upenn.edu
|
[] |
The online artificial intelligence course from Wharton gives insights into Big Data, AI and how it affects the working world.
|
Program Experience
Highlights and Key Outcomes
Participants will learn how to:
Develop online and offline retail strategies
Differentiate between effective and ineffective digital strategies
Develop the right leadership approach to achieve specific business goals
Online Course Modules
Module 1: This module will begin with a definition of big data, an exploration of its origins, and why the ways it is produced matter. You’ll examine the most useful approaches to big-data analysis, and learn which skillset and competencies are required for big-data analysis. You’ll also explore different data management and data analysis tools and discover how predictive analysis is used to extract intelligence from big data. By the end of this module, you’ll be better able to analyze big datasets, choose the right tools for analysis, and harness insights generated from big data to construct successful strategies for your business.
Module Overview:
AI for Business Introduction
Big Data Overview
Big Data Analysis
Data Management Infrastructure
Data Analysis: Extracting Intelligence from Big Data
Module 2: In this module, you’ll examine the fundamentals of artificial intelligence and delve deeper into machine learning. Through close examination of the history of AI and the expert-systems approach, you’ll gain a deeper understanding of AI’s definition and types. You’ll also learn three types of machine learning (supervised, unsupervised, and reinforcement learning) and examine the differences between machine learning and AI. You’ll also explore factors that influence accuracy in machine learning, as well as analyze specific machine learning methods such as logistic regression, decision trees, and neural networks. By the end of this module, you will have a better understanding of both artificial intelligence and machine learning and be able to select appropriate algorithms and methods to optimize your business’s trajectory.
Module Overview:
Introduction to Artificial Intelligence
A Detailed View of Machine Learning
Specific Machine Learning Methods: A Deep Dive
Module 3: In this module, you will explore real-world examples of machine learning in different business contexts, including personalization on the web, financial applications, and autonomous vehicles. You’ll learn about multiple applications of machine learning in finance, such as fraud detection and identity verification, as well as the opportunities and challenges of autonomous vehicles. Through analysis of various recommender systems, you’ll better understand their impact on markets and be able to address the challenges of each. By the end of this module, you’ll have a richer understanding of existing machine learning technologies and how they are transforming industries and markets.
Module Overview:
Business Applications of Machine Learning and Personalization
Personalization: Impacts on Markets
Personalization: Addressing the Challenges
Interview with Apoorv Saxena
Machine Learning in Finance: Fraud Detection
Machine Learning in Finance: Additional Applications
Autonomous Vehicles (AVs)
Challenges to Adoption
Module 4: In this module, you’ll explore how to strategically implement AI within your organization and manage AI governance. You’ll examine how to develop a portfolio approach of AI projects and learn how quick wins and long-term projects can help companies successfully utilize the power of machine intelligence. You’ll also analyze specific organizational behaviors that help organizations generate value from AI. Through a series of examples such as Xiaoice and Tay, you’ll learn about the risks from AI and the social risks AI presents for firms. By the end of this module, you’ll be able to better navigate the risks of AI and construct a more efficient and successful AI strategy for your business.
Module Overview:
Interview with Apoorv Saxena
AI-Driven Business Transformation
Developing a Portfolio for AI Projects
Lowering Barriers for AI Use
AI in the Organizational Structure
Risks with AI
Governance
Course Takeaways
Module 5: In this module, you’ll examine the profound impact of generative AI on various professional fields. Get an overview of how large language models (LLMs) like GPT-4 are transforming industries from legal services to arts and entertainment. You’ll learn the foundational concepts of generative AI, including how these models predict and generate content. Through studies and case examples, you’ll investigate how AI can enhance productivity, improve work quality, and support creative tasks. You will also consider the ethical and practical considerations of integrating AI into business practices. By the end of this module, you’ll be equipped to leverage AI technologies to drive innovation and efficiency within your organization, ensuring competitiveness in an increasingly digital world.
Module Overview:
| 2022-12-01T00:00:00 |
https://executiveeducation.wharton.upenn.edu/for-individuals/all-programs/artificial-intelligence-for-business/
|
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{
"date": "2022/12/01",
"position": 33,
"query": "AI business leaders"
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{
"date": "2023/01/01",
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"query": "AI business leaders"
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{
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"position": 14,
"query": "artificial intelligence business leaders"
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{
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"query": "AI business leaders"
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{
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{
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{
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"query": "AI business leaders"
},
{
"date": "2023/06/01",
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"query": "artificial intelligence business leaders"
},
{
"date": "2023/08/01",
"position": 30,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 30,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 14,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 14,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 30,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 16,
"query": "artificial intelligence business leaders"
},
{
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{
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{
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},
{
"date": "2024/07/01",
"position": 16,
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},
{
"date": "2024/09/01",
"position": 44,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 14,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 29,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 14,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 31,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 14,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 30,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 36,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 15,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 20,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 12,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 19,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 12,
"query": "artificial intelligence business leaders"
}
] |
|
AI for Business Leaders - Stockholm - SSE Executive Education
|
AI for Business Leaders
|
https://exedsse.se
|
[] |
The AI for Business Leaders program is based on leading research. It is designed for forward-thinking leaders and executives in both the private and public ...
|
The AI for Business Leaders program is based on leading research. It is designed for forward-thinking leaders and executives in both the private and public sectors who are committed to leveraging artificial intelligence (AI) to drive tangible value within their organizations.
The program emphasizes personal development and growth, helping participants to reflect on and develop their own AI skills and capabilities. By focusing on both individual and organizational levels – ranging from personal workflows to team dynamics and business models – participants will gain the tools they need to implement AI effectively. This impact-oriented, hands-on approach to AI strategy is what sets this program apart from others.
| 2022-12-01T00:00:00 |
https://exedsse.se/en/program/ai-for-business-leaders/
|
[
{
"date": "2022/12/01",
"position": 34,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 34,
"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 44,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/04/01",
"position": 33,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 45,
"query": "artificial intelligence business leaders"
},
{
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"position": 46,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 43,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/01",
"position": 45,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 44,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 61,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 45,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 45,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 33,
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},
{
"date": "2024/11/01",
"position": 45,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/01/01",
"position": 44,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 39,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 58,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 39,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 58,
"query": "artificial intelligence business leaders"
}
] |
|
12 Free AI Training Courses for Business Leaders
|
12 Free AI Training Courses for Business Leaders
|
https://www.instituteofaistudies.com
|
[] |
This article introduces you to 14 free AI courses designed specifically for business leaders, providing you with the tools to embrace AI's potential.
|
In today's fast-paced business environment, keeping up with the latest advancements in technology is crucial. Artificial Intelligence (AI) is rapidly changing how businesses operate, and business leaders need to understand how to use AI to suit their needs. Exploring free AI training courses can be a valuable step towards gaining the insights and skills needed to drive your organisation forward.
Finding the right AI training can help you make informed decisions and stay ahead of the competition.
By equipping yourself with knowledge about generative AI, data governance, and ethical considerations, you can effectively integrate AI into your business strategy. This article introduces you to 14 free AI courses designed specifically for business leaders, providing you with the tools to embrace AI's potential.
1) Institute of AI Studies
At the Institute of AI Studies, we have two free courses (Ai for Beginners mini Course and Midjourney for Designers mini course) that are available for Business Leaders.
The AI Taster | Ai for Beginners Mini Course
The Ai for Beginners Mini Course offered by the Institute of Ai Studies is designed for busy professionals eager to kickstart their AI journey.
This free, instant-access course introduces participants to three essential AI tools, providing practical, hands-on learning experiences. The course aims to demystify AI concepts, making them accessible and applicable to real-world scenarios. With a focus on practical implementation, the mini-course equips learners with the foundational knowledge needed to understand and utilize AI technologies effectively in their professional environments.
Responsible AI Principles for Leaders
Responsible AI involves using artificial intelligence in a way that is ethical and fair. It's crucial for business leaders to understand these principles to foster trust and accountability. A key aspect is data protection. You must ensure that the data used by AI systems is secure and respects privacy.
Bias mitigation is another important principle. AI systems can sometimes produce biased results, often reflecting historical inequalities. As a leader, you should implement strategies to identify and reduce biases in AI models.
Transparency is also vital. Your AI processes should be clear and understandable to all stakeholders. This means explaining how decisions are made by AI systems and ensuring there are ways to appeal or review those decisions.
Accountability is the responsibility for the outcomes of AI decisions. Leaders should establish mechanisms to monitor and address the consequences of AI activities. Ethical practices and clear policies help in maintaining accountability.
If you aim to deepen your knowledge, consider learning from a dedicated course. Responsible Ai Principles for Leaders can provide practical strategies and tools. It covers topics such as ethical practices, data security, and bias mitigation. Joining such a course can equip you to lead with integrity in today’s AI-driven world.
2) AI in Finance Specialisation by Coursera
This course on Coursera is designed to help you understand AI and its applications in finance. It is part of a larger programme, offering four courses in total. The goal is to give you the skills to develop and implement AI strategies in your organisation.
You'll learn about market equilibrium, no arbitrage, and predictability. These are fundamental concepts in finance that are crucial for understanding how markets operate. The course also covers market modelling, helping you grasp how different financial models work.
One of the key areas you will focus on is Reinforcement Learning. This method is used in high-frequency trading and credit risk analysis. It helps improve decision-making processes in trading and risk management.
Another benefit is learning about AI applications in peer-to-peer lending and cryptocurrencies trading. These are growing areas in finance, and having skills in these fields can be very beneficial.
The course is led by industry experts, ensuring that you receive high-quality education. The instructors guide you through practical applications, making it easier to implement what you've learnt in real-world scenarios.
By completing this course, you will be better equipped to integrate AI and machine learning into your financial practices. This can give your organisation a competitive edge in the financial industry.
3) Deep Learning Specialisation by deeplearning.ai
The Deep Learning Specialisation by deeplearning.ai is a standout course. It's designed for those who want to understand the ins and outs of deep learning.
You will learn to build and train deep neural networks. The course will help you identify key architecture parameters and implement vectorised neural networks.
You'll explore practical techniques to upload your AI projects. It also teaches you to develop an industry portfolio.
Key components include training test sets and analysing variance for deep learning applications. You'll use standard techniques and optimisation algorithms.
The course includes hands-on labs with TensorFlow. This gives you a chance to practice building neural networks.
The Deep Learning Specialisation is part of Coursera, which means you can access the course online. The format is self-paced, so you can learn at your own speed.
The specialisation comes from deep learning experts. It has a 1 million-strong learner community to support and guide you.
Designed by Andrew Ng, a leading figure in AI, this course ensures you gain foundational skills in the field. Expect to grow your AI career with knowledge that's both theoretical and practical.
4) AI for Business Leaders by Udacity
AI for Business Leaders by Udacity aims to equip you with the strategic tools to integrate artificial intelligence into your business. This executive programme covers essential AI topics to help you understand its impact and potential.
The course is designed for business leaders who want to leverage AI for growth and innovation. It offers practical insights and techniques for implementing AI strategies.
Udacity's online format allows you to learn at your own pace. Experienced instructors provide lessons that help you grasp both the technical and managerial aspects of AI.
Completing this programme can help you make informed decisions about AI investments and strategies. You'll be better prepared to lead your organisation through the AI-driven future.
The curriculum includes case studies and real-life applications, making it highly relevant to today's business environment.
5) AI Business School by Microsoft
Microsoft's AI Business School is a free, online course designed to help business leaders understand and implement AI in their organisations. It covers crucial topics such as planning, strategising, and scaling AI projects responsibly.
You will find resources on how to integrate AI into your company's culture and strategy, ensuring that it aligns with your business goals. You will learn from experts and real-world case studies, making it practical and applicable. The partnership with INSEAD adds to the course's credibility, offering a well-rounded educational experience.
6) Artificial Intelligence in Business by FutureLearn
FutureLearn offers an insightful course on Artificial Intelligence in Business. This course helps you understand how AI can transform your business operations. It's designed for business leaders wanting to grasp AI’s potential in decision-making and strategic planning.
You will learn about the power of AI in various business sectors. The course covers how AI can automate processes, enhance customer experiences, and optimise workflows. With three weeks of flexible online learning, it fits easily into your schedule.
The course highlights real-world applications of AI. From AI chatbots to smart personal assistants, you get to see how businesses use AI to improve efficiency. This practical approach ensures you can apply the knowledge directly to your own organisation.
7) AI and Big Data in Global Health Improvement by edX
In this course, you will explore how AI and big data can transform global health. You'll learn about the benefits of sharing healthcare data across countries. This can lead to better medical development and improved patient care.
Experts in the field will guide you through complex topics. You'll discuss how AI can make healthcare more accessible. You'll also look at the role of big data in enhancing patient safety.
This course also focuses on the importance of standardising health data. Standardisation can improve the quality of care worldwide. Sharing data effectively can help address global health issues, especially during pandemics.
The course is delivered over four weeks, making it a manageable commitment. You can fit it into your busy schedule. Suitable for business leaders who want to understand the impact of AI on healthcare.
By the end of the course, you'll have a clear understanding of how AI and big data can improve global health. You will be better equipped to make data-driven decisions in your organisation.
8) Designing and Building AI Products and Services by MIT
This course guides you through the essential steps of AI product design. It focuses on four key stages.
First, you learn to identify the appropriate AI technologies to improve processes in your organisation. Next, the course helps you analyse both technical and operational requirements needed to build effective AI models.
You will also explore different types of machine learning algorithms and how to select the best ones for your projects. By the end, you’ll know how to create AI products that address specific organisational challenges.
9) Generative AI for Business Leaders by LinkedIn Learning
"Generative AI for Business Leaders" is a course offered by LinkedIn Learning. The course, led by Tomer Cohen, is tailored for intermediate-level professionals aiming to integrate generative AI into their business strategies. Over the span of 57 minutes, this course provides a comprehensive overview of generative AI, including its applications, benefits, and potential challenges in a business context.
Participants will gain valuable insights into how generative AI can enhance business operations, drive innovation, and create competitive advantages. The course also offers a sharable certificate upon completion, making it a valuable addition to any business leader's professional development portfolio.
10) Data Science and Machine Learning Bootcamp with R by Udemy
This course offers over 100 HD video lectures. It includes detailed code notebooks for every lecture, helping you grasp complex concepts.
You will learn how to programme in R, a popular language among data scientists. The course covers data visualisation, teaching you to create impressive visual data representations.
Machine learning is another key topic in this bootcamp. You will explore various algorithms used in machine learning, all through hands-on practice with R. The course also helps you handle different data types. Learn to work with CSV, Excel, SQL files, and even web scraping to gather your data.
This bootcamp aims to provide a well-rounded education in data science and machine learning. It is suitable for both beginners and those looking to refine their skills.
The Importance of AI Training for Business Leaders
AI training equips business leaders with essential skills to make informed decisions, drive innovation, and stay competitive. It fosters a deeper understanding of technology's role in the corporate world.
Enhancing Decision-Making Skills
AI training helps you analyse vast amounts of data efficiently. It teaches you to identify trends, predict outcomes, and make data-driven decisions. Understanding AI tools like ChatGPT allows you to assess and mitigate risks more accurately. This leads to smarter strategic planning and better resource allocation.
Additionally, AI training can improve your ability to interpret complex data visualisations. This skill is crucial for making informed decisions that align with your business goals. By mastering AI technologies, you're equipped to make quicker, more precise decisions.
Driving Innovation and Efficiency
Using AI, you can automate repetitive tasks, freeing up time for creative thinking and strategic initiatives. AI training shows you how to integrate these technologies into your workflows, enhancing productivity. This not only drives innovation but also improves operational efficiency.
Moreover, AI training provides you with the know-how to develop and implement AI-based solutions. These solutions can streamline processes, reduce errors, and lower costs. Learning how to harness AI effectively empowers you to foster a culture of continuous improvement and innovation.
Staying Competitive in the Market
AI is revolutionising industries, making it crucial for business leaders to stay updated. AI training helps you understand the latest advancements and how to apply them to your business. Staying informed about AI trends ensures you remain competitive in a rapidly evolving market.
By emphasising the importance of AI ethics and governance, training ensures you implement AI responsibly. This builds trust with customers and stakeholders. Trust and transparency are key to maintaining a competitive edge in today's business landscape.
In conclusion, investing in AI training is essential for business leaders. It enhances decision-making, drives innovation, and ensures competitiveness. Equipping yourself with AI skills prepares you to lead your organisation into the future.
Key Topics Covered in AI Training Courses
These AI training courses for business leaders touch on fundamental aspects of artificial intelligence, key machine learning techniques, and the ethical considerations necessary for responsible AI implementation.
#1 - Fundamentals of Artificial Intelligence
You will start with the basics of AI, including its history and evolution. Courses often cover what artificial intelligence is, and its different types such as narrow AI and general AI.
Another important topic is understanding AI algorithms and how they work. This includes learning about neural networks, decision trees, and natural language processing (NLP). By comprehending these core components, you can better grasp how AI technologies operate and their potential applications in business.
Practical applications and case studies are frequently utilised to show how companies are using AI today. This provides real-world examples of AI in action.
#2 - Machine Learning and Data Analysis
Machine learning is a critical aspect of AI training. Courses will explain the difference between supervised, unsupervised, and reinforcement learning. You'll learn about various machine learning models like regression, classification, clustering, and how they're used to draw insights from data.
Data analysis plays a vital role in machine learning. You'll be introduced to techniques for cleaning, processing, and interpreting data. Emphasis is placed on data quality, as the effectiveness of AI models highly depends on the quality and volume of data.
Hands-on projects often form part of these courses, where you can practice building and optimising machine learning models. This helps in understanding how machine learning can be used to solve business problems.
#3 - Ethical Considerations in AI
The ethical part of AI training is crucial. Courses discuss challenges such as bias in AI, transparency, and accountability. You will learn about the impact of AI decisions, and why it’s important to develop and deploy AI systems responsibly.
Legal implications are also an essential topic. This includes understanding data privacy laws and regulations that govern the use of AI. Knowing these can help you minimise legal risks when implementing AI solutions.
Additionally, the courses often explore the social implications of AI. This includes discussions on job displacement, fairness, and the ethical responsibilities of companies using AI technologies. This awareness is key to ensuring AI is used for the benefit of all stakeholders.
How to Choose the Right AI Training Course
Selecting the right AI training course involves understanding your specific business needs, evaluating the content of the course, and considering the qualifications of the instructors. Here is how you can make an informed decision.
#1 - Assessing Your Business Needs
Start by identifying your business goals. Do you want to improve customer service, automate processes, or enhance data analysis? Knowing your objectives will guide your choice.
Consider the current skill level of your team. Choose a course that matches their expertise. If your team has basic knowledge, look for beginner courses. For advanced skills, an in-depth programme is essential.
Evaluate the time and resources you can commit. Some courses are intensive and require significant time investment, while others are designed for busy professionals.
#2 - Evaluating Course Content
Look for courses with comprehensive and relevant content. The best courses cover a range of topics including machine learning, data science, and AI applications in business.
Ensure that the course offers practical, hands-on learning. Interactive elements like projects, case studies, and coding exercises can make the material more engaging and useful.
Check if the course material is up-to-date. AI is a rapidly evolving field, and you need the latest information to stay competitive. Courses from reputable institutions like Google, Microsoft, and Harvard are usually reliable.
#3 - Understanding the Qualification of Instructors
Instructors play a crucial role in your learning experience. Research the qualifications and backgrounds of the instructors. Experienced professionals with real-world AI expertise are ideal.
Look for instructors who have practical experience. An ideal instructor not only understands theoretical concepts but also how to apply them in real business scenarios.
Consider reading reviews or testimonials about the instructors. Feedback from past students can provide insights into their teaching style and effectiveness. A knowledgeable and approachable instructor can greatly enhance your learning experience.
Final Thoughts
The Institute of Ai Studies offers a comprehensive range of courses specifically designed to empower business leaders in navigating the rapidly evolving AI landscape. Their programs prioritise practical applications and real-world case studies, ensuring that participants gain actionable insights into leveraging AI for strategic decision-making and driving innovation within their organisations.
With a faculty comprising industry experts and seasoned professionals, the Institute provides a unique blend of theoretical knowledge and hands-on experiences. Furthermore, their courses are regularly updated to reflect the latest advancements in AI, ensuring that business leaders remain at the forefront of technological developments. By equipping professionals with the necessary skills and understanding of AI's potential, the Institute of AI Studies is for business leaders seeking to harness the transformative power of artificial intelligence.
| 2022-12-01T00:00:00 |
https://www.instituteofaistudies.com/insights/free-ai-training-courses-business-leaders
|
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|
AI For Business - Tepper School of Business - Carnegie Mellon ...
|
AI FOR BUSINESS
|
https://www.cmu.edu
|
[
"Carnegie Mellon University",
"- Isabelle Bajeux-Besnainou"
] |
Expose emerging and experienced business leaders to next-generation AI through expanded and enhanced Executive Education programs. Integrate AI-based curricular ...
|
AI FOR BUSINESS
THIS IS THE MOMENT.
Artificial intelligence is rapidly transforming the way we work and learn. In the workplace, AI can enable greater efficiency through automation and streamlining of operations and drive better-informed decision making through prediction and threat detection. In the classroom, AI can allow hands-on, personalized learning and real-time testing of knowledge through machine learning, advanced simulation, and natural language processing. However, AI raises significant existing and unknown concerns for employers and universities due to issues including bias, plagiarism, misinformation, and privacy. Important work lies ahead to make AI a safe, responsible, and reliable tool for the public good.
THIS IS THE PLACE.
In collaboration with world-class engineers, social and data scientists, and public policy experts across Carnegie Mellon University, our renowned Tepper School faculty harness the creative potential of AI. This coordination aims to complement and enhance human innovation while tackling AI’s myriad ethical and societal risks. Through the Center for Intelligent Business, our faculty are at the forefront of research and teaching in complex topics, including generative AI, human-AI interaction within collaborative teams, and the role of AI in responsible business decision making. In the classroom, we are preparing future leaders and next-generation researchers to solve today’s business challenges while shaping the future of AI.
THIS IS OUR STRATEGY.
| 2022-12-01T00:00:00 |
https://www.cmu.edu/tepper/the-intelligent-future/strategic-plan/ai-for-business.html
|
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},
{
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}
] |
|
AI for Business - Develop AI, GenAI and ML Transformation Strategies
|
AI for Business
|
https://www.insead.edu
|
[
"Research Director Of The Insead-Wharton Alliance",
"The Roland Berger Chaired Professor Of Strategy",
"Organisation Design"
] |
The INSEAD AI for Business Programme demonstrates how companies can thrive in the digital era through strategy, leadership, and innovation.
|
Phanish Puranam is a Professor of Strategy, the Roland Berger Chaired Professor of Strategy and Organisation Design at INSEAD. Phanish’s research in organization science focuses on how organizations work, and how we can make them work better. His current work focuses on different ways in which intelligent algorithms relate to organizations, in their roles as tools (e.g., machine learning applied to organizational data), team-mates (e.g., human-AI collaboration), and as templates for organizing ( e.g. blockchain, metaverse). Besides publishing his research extensively in peer reviewed journals (see link to Personal Website on the left), Phanish has also written several books. The Microstructure of Organizations (Oxford University Press, 2018) offers researchers a new perspective on organization design. Phanish’s books for practitioners include Corporate Strategy: Tools for analysis and decisions (co-authored with Bart Vanneste, Cambridge University Press, 2016) which is used as a reference in MBA programs around the world. India Inside (co-authored with Nirmalya Kumar, Harvard Business Review Press, 2012) won critical acclaim for its balanced look at the prospect of India emerging as a global hub for innovation. He also releases regular updates of the freely available e-book re-Humanize ” is written for a general audience and explores what organizations of the future might look like, in the light of rapid changes in technology and culture. At INSEAD Phanish Puranam founded and co-directs the AI for Business programmes for senior executives. Phanish obtained his PhD at the Wharton School of the University of Pennsylvania in 2001, and was on the faculty of London Business School till 2012. Reflecting his commitment to doctoral training, he has served as the Academic Director for the PhD Program at both London Business School and INSEAD.
Phanish Puranam Professor of Strategy The Roland Berger Chaired Professor of Strategy and Organisation Design Research Director of the INSEAD-Wharton Alliance
| 2023-06-29T00:00:00 |
2023/06/29
|
https://www.insead.edu/executive-education/digital-transformation-ai/ai-business
|
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] |
edX: Generative AI for Business Leaders
|
edX: Generative AI for Business Leaders
|
https://www.edx.org
|
[] |
This condensed course is designed to equip business leaders with an essential understanding of generative artificial intelligence and tools to help your ...
|
Level up your career — Get 15% off select programs until July 30. Use the code LEVELUPEDX25. Learn more.
Close site banner.
| 2022-12-01T00:00:00 |
https://www.edx.org/learn/computer-programming/edx-generative-ai-for-business-leaders
|
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"query": "AI business leaders"
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] |
|
Generative AI Course - Indiana University Kelley School of Business
|
Generative AI Course
|
https://kelley.iu.edu
|
[] |
Free professional certificate offering for KD alum. Registration for the Generative AI For Business Leaders course has closed. If you have any questions please ...
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Description of the video:
Hello. My name is Brian Williams. I am a professor and chair of the advanced Business Technology Department here at Kelly. I'm thrilled to introduce our new eight week course on Generative AI for Business Leaders. Developed in response to your feedback as Kelly Direct Alumni. Many of you have expressed a desire for continuing education that equips you with up to date skills, to help you continue to grow in your careers, and this first of its kind course is designed to meet that need. Our goal of this course is to provide you with practical hands on experience and guidance and using generative AI to enhance your productivity and effectiveness as a business leader. This technology is evolving rapidly, and the course will focus heavily on rail world examples that reflect the current landscape of NII and business. We'll explore how GNI can augment your own abilities and help your organization from handling routine tasks to serving as a creative partner in your decision making process. The course is designed to be applicable to business leaders regardless of their current knowledge level of NII. We'll start with a high level overview of NII to give you the background you need to best understand how to utilize these tools. As the course is focused on a business leaders point of view, we'll also discuss the quickly changing landscape around ethical and legal issues, ensuring you're aware of the potential risks and how to protect yourself and your organization. Throughout the course, my goal is to keep our sessions highly interactive and adaptable to your interest and the latest developments in the field. Cover the evaluation of current GNAI models, discuss the implications of deep faxed and visual AI, provide practical tips on prompting and evaluating AI generated content. Additionally, we'll explore how you can leverage NA AI as a personal career coach and business advisor, integrating it into your daily workflow to create and evaluate reports more effectively and gain new insights. In order to ensure a highly interactive experience, we expect you to engage with the course materials fully. You'll need to complete about 3 hours of asynchronous prework before each class, including a quick quiz to assess understanding. Live virtual classes will run 75 minutes once per week for eight weeks, during which we expect you to have your cameras on and engage actively with each other during the sessions. We believe that the best learning experience comes from being highly engaged. So please come prepared to participate rather than expecting a sit and get approach. However, we want this course to be also flexible and understand that sometimes life can be busy, you will also offer a task in lieu of attendance for credit for weeks you cannot attend a live session. In Spirit with a high engagement offering, this course is designed to be flexible and responsive to your needs. With open space in the schedule to tailor the content will be most beneficial for you. After completing this offering, you should be able to immediately implement we have learned to improve your own effectiveness as a business leader. I'm excited about this opportunity to engage with you in a dynamic and tailor made learning experience for Kelly Director ums. I look forward to seeing you in class.
| 2022-12-01T00:00:00 |
https://kelley.iu.edu/programs/online/alumni/generative-ai-course.html
|
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|
AIS247: AI Security Essentials for Business Leaders - SANS Institute
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AIS247: AI Security Essentials for Business Leaders
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https://www.sans.org
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[
"Author Statement"
] |
It targets business leaders and managers to drive understanding on effectively and safely implementing AI in their operations. Led by Frank Kim and Dan ...
|
AIS247: AI Security Essentials for Business Leaders is essential training for professionals navigating the rapidly evolving landscape of artificial intelligence in the business world. This training provides a thorough exploration of generative AI (GenAI), starting with a foundational understanding of why GenAI has become a key strategic element in various industries. It delves into the mechanisms of GenAI, including topics such as prompt engineering and the complexities of large language models. Participants will gain valuable insights into the common risks associated with GenAI usage, including strategies and tactics for risk mitigation. An important aspect of AIS247 is its focus on AI-related cybersecurity risk management and the development of AI policies, equipping attendees with the knowledge to manage AI innovations responsibly and securely. The training is designed to cater to a broad spectrum of professionals involved in AI implementation, from decision-makers on AI-related topics to technologists and end users, ensuring a comprehensive understanding of GenAI's role in both personal and professional spheres.
The training emphasizes the practical application of AI in the workplace, highlighting how GenAI can enhance productivity, reduce costs, and improve the quality of work. Example applications and use cases are integral to the training and cover a range of ways GenAI is making an impact, including content creation, data analysis, software engineering, customer support, and cybersecurity. Through these practical examples, participants will understand the strong motivation business find to use AI in their own work environments and how to balance the productivity gains with risk management. AIS247 addresses the challenges of AI implementation, discussing the ethical and secure use of AI technologies, the importance of transparency and accountability, and the need and process for development of AI policies that align with organizational goals. By the end of the training, attendees will understand the technological aspects of AI, why it's such a transformational force in business, and how to apply these tools safely, ethically and effectively in the workplace.
Business Takeaways
Develop a clear understanding of why GenAI adoption is imminent and why it is critical to manage the associated risks
Gain insight into AI's role in business and how it is being leveraged for improved productivity
Enhance your capability to directly address the primary risks resulting from AI implementation, integration, and everyday usage
Discover the content, teams, and processes required to implement effective AI policies in your organization
Understand the need for ethical and transparent AI usage in today's workplace due to pressure, human and cyber risks, mitigation, and policy strategies
If you're interested in having multiple members of your organization learn more about AI, click here for our AIS247 for Enterprise page.
Skills Learned
Learn how Generative AI works and how it is being used to help increase productivity
Understand prompt engineering to optimize interactions and outputs from Generative AI systems, ensuring clarity and relevance
Address and mitigate risks associated with AI, including addressing bias, overreliance, and data security
Appreciate the basics about the intersection of AI and cybersecurity and how to manage associated risks
Gain insights into the ethical considerations and best practices for AI usage
Acquire the basic skills to assess AI initiatives and drive successful AI strategies
What You Will Receive
| 2022-12-01T00:00:00 |
https://www.sans.org/cyber-security-courses/ai-security-essentials-business-leaders/
|
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|
8 Best AI Tools for Small Business Leaders
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8 Best AI Tools for Small Business Leaders
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https://www.usaii.org
|
[
"United States Artificial Intelligence Institute",
"Usaii"
] |
Bernard Marr, the world-renowned futurist, influencer, and thought leader in business and technology leverages high stakes on recent ...
|
Bernard Marr, the world-renowned futurist, influencer, and thought leader in business and technology leverages high stakes on recent advancements in artificial Intelligence. While helping organizations improve their business performance, use data more intelligently, and understand the implications of new technologies- AI is the power potion of the future as per him and many other global AI leaders. There is no denying the fact that Artificial intelligence has seeped into our lives across functions from personal to professional to organizational. Adding to it is a proven that AI automation has drastically enhanced productivity and overall performance of the business enterprises and employees alike.
In continuation, as Agentic AI rolls out at enterprise scale, the right combination of technology and culture can create dramatic new opportunities to re-imagine how organizations work and create value. Having said that, looking at the other sector of the non-engaging businesses that are staying away from AI yet, it is high time they geared up with the latest in technology to boost their enterprise performance and business growth for the greater good.
The PwC 2025 Global AI Jobs Barometer further insists that if businesses are to turbocharge their growth and leverage the opportunity afforded by AI; they must put AI front-and-centre, now. Key recommendations for businesses include:
Use Artificial Intelligence for enterprise-wide transformation
Treat AI as a growth strategy; not just an efficiency strategy
Prioritize Agentic AI
Enable your workforce to possess the requisite business generative AI tools
Unlock AI’s transformative potential by building trust
Furthermore, nearly 89% of small businesses globally report integrating some AI tools for everyday tasks including email writing, marketing content creation, data analysis, etc. Adding to the success of these AI tools deployment, over 60% of small business owners using AI report improvements in employee job satisfaction and productivity (hostinger.com). This is definitely a great feat for small business owners and artificial intelligence together. Having talked at great lengths about AI tools deployment and the voids to be filled- it is time to unravel what AI tools are; their key benefits for small business owners, and the popular AI tools raging in the global marketplace today.
AI Tools- Understanding the Neural Nomad
Artificial Intelligence tools are software application that use artificial intelligence algorithms to perform specific tasks and solve problems. These are deployed in a variety of industries from healthcare to finance, education, and marketing. It automates tasks, analyses data, and improves decision-making.
How Do AI Tools Help Small Business Owners- The Perks Galore
Businesses of all sizes must bring artificial intelligence tools into active practice to gain traction worldwide and reap the above listed benefits. Asking yourself whether you are ready for it is not the question. Artificial Intelligence has become an integral part of organizational growth plan.
Top AI Tools for Small Businesses- From writing poems to painting portraits
1. Finance-heavy Business?
Start with Affiniti
Affiniti is using artificial intelligence to create ‘AI CFO’ agents; that are designed to manage all financial operations for small and medium-sized businesses, encompassing banking, bill payments, and sales analytics. The AI CFO agents are industry-specific, offering tailored financial guidance for sectors like healthcare and automotive.
2. Content and branding focus?
Go with AI Magicx or Sitekick AI
AI Magicx emerges as a string rival to ChatGPT with its all-in-one content creation platform. It combines artificial intelligence for writing, coding, and visual design in one place. Sitekick AI is a pioneering AI-powered tool designed to simplify the creation of landing pages that are both visually striking and conversion-focused.
3. Process automation priority?
Zapier AI is low-hanging fruit
Zapier AI pulls the power of top large language models (LLMs) into your Zaps- without requiring your own API key. This built-in tool comes with an intuitive assistant that helps you generate optimized prompts using natural language.
4. Training or support materials?
Clueso works wonders
Clueso transforms screen recordings into professional instructional content, automating step-by-step articles, videos, and GIFs with voice-overs and branding. It is ideal for B2B SaaS and streamlines content creation, ensuring clear, consistent user guides across languages.
5. Business and Sales Operations?
HubSpot Breeze AI Agents are a perfect match
Breeze agents are designed to streamline business operations by automating repetitive tasks, allowing teams to focus on more strategic initiatives. These cater to specific business needs, enhancing efficiency, and productivity.
6. Big Data, Analytics, and Intelligence Potential?
Looker Studio + AI
A comprehensive data analytics and business intelligence platform designed to empower organizations with actionable insights derived from their data. Its user-friendly interface and advanced functionalities enable users to explore, analyze, and visualize data effectively.
7. Growth with enhanced cybersecurity?
Darktrace for SMBs
Darktrace brings its AI to your data, wherever it resides. It’s new agentic AI technology is designed to enhance cybersecurity measures through highly personalized and adaptable AI models.
8. Perfect Designers’ Pet?
DALL-E nails it every time
OpenAI’s DALL-E and DALL-E 2 transform text into stunning images using advanced AI. DALL-E 3 understands significantly more nuance and detail than the previous systems; allowing easy translation of your ideas into exceptionally accurate images. DALL-E prompts for UI/UX designers innovate, create, and inspire your masterpiece.
Reading through this text, the massive expanse of the artificially intelligent tools are soaring through the skies. It is an impeccable edition to sift through an array of AI tools readily available for your use and deployment. Understanding which tool suits best to your business goal is a must. AI certifications for business leaders and employees come in handy to enable greater business revenue and efficient usage of AI tools. In today’s times, leading from the front matters! Your budget, long term goal in place, AI talent pool for efficacy is a must to standby a robust AI tool to manage and propagate business success.
Confused where to begin as an AI leader? USAII’s CAITL™ is your perfect resolve as it is globally recognized AI excellence program, guided by world leaders in AI and strategic industry players. It is enough said than ever, to get certified with the trust names across the globe. CAITL™- Certified AI Transformation Leader- is your ticket to an all-new world of greater AI leadership opportunities where business leaders evolve and come out of the cocoon to explore the bigger potentialities of their business, the AI way. Live masterclasses from industry leaders, free elearning kit with HD videos and most contemporary curriculum set by globally celebrated SMEs. The American membership of the United States Artificial Intelligence Institute (USAII®) with ANSI and ICE leverages the highest possible return on your core investments. These are just a few of the perks mentioned, that you can earn while gaining your spot under the AI leadership spotlight. Stop thinking, and enroll now to turn the tables!
| 2022-12-01T00:00:00 |
https://www.usaii.org/ai-insights/8-best-ai-tools-for-small-business-leaders
|
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|
AI for Business Leaders - FourthBrain
|
AI for Business Leaders
|
https://fourthbrain.ai
|
[] |
A workshop for executives, directors, VPs and top operators looking to explore AI adoption in their organizations.
|
As industries adapt to take advantage of AI, businesses around the world are realizing that AI implementation will soon be essential to remain competitive and up-to-date.
Business leaders face the biggest challenge of not knowing how to begin. This workshop, exclusively for executives, directors, and decision-makers, has been designed to help them come up with concrete next steps to create a roadmap for incorporating AI into their businesses.
| 2022-12-01T00:00:00 |
https://fourthbrain.ai/ai-business-leaders/
|
[
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"query": "AI business leaders"
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|
16 Best AI Leadership Programs [MIT | Kellogg | Berkeley] [2025 July]
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16 Best AI Leadership Programs [MIT | Kellogg | Berkeley] [2025 July]
|
https://digitaldefynd.com
|
[
"Team Digitaldefynd",
"At Digitaldefynd",
"We Help You Find The Best Courses",
"Certifications",
"Tutorials Online. Hundreds Of Experts Come Together To Handpick These Recommendations Based On Decades Of Collective Experience. So Far We Have Served Million",
"Satisfied Learners"
] |
Best AI Leadership Courses [2025 July] [UPDATED]. AI for Senior Executives & CSuite Program (MIT xPRO); Artificial Intelligence: Implications for Business ...
|
In today’s rapidly evolving business world, Artificial Intelligence is making big waves, completely changing how companies work and plan their strategies. Bringing AI into leadership is not just a passing trend but a necessary step combining smart data analysis with forward-thinking leadership. Many top leaders, including CTOs, CMOs, and CFOs, are eager to dive into AI. They aim to use their powerful abilities to create plans that are not just based on data but can also predict and quickly adapt to the changing market trends. This blend of AI and leadership marks a big change in the business world, making agility, innovation, and smart decision-making the cornerstone of a new, evolving leadership style.
You need the right kind of education to start on this exciting path of combining leadership skills with AI knowledge. That’s where we at DigitalDefynd step in. We have put in the work to be your dependable guide in this transformational journey. With our wide connections and ties with famous educational institutions worldwide, we are happy to bring you a carefully crafted list of the Best AI Leadership Programs available worldwide. This list is created after thorough research and deep understanding, designed to help you smoothly step into the vibrant world of AI leadership roles. We encourage you to use this guide as a stepping stone to a career that is both fulfilling and at the cutting edge of technological advancement. Let us assist you in choosing a program that not only matches your career plans but sets you up for a future filled with growth and success.
Best AI Leadership Courses [2025 July] [UPDATED]
The AI for Senior Executives program by MIT xPRO is one of the most comprehensive and prestigious programs for leaders aiming to master the intersection of artificial intelligence and executive strategy. Tailored for senior professionals driving AI initiatives at scale, the six-month program equips participants with the frameworks, tools, and leadership capabilities necessary to deploy AI across business functions responsibly and effectively. Whether leading innovation, digital transformation, or enterprise strategy, this program is ideal for executives preparing to lead their organizations into the AI era.
Crafted by renowned faculty from MIT and researchers at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), the program offers a rigorous curriculum delivered in a hybrid format. Participants engage in asynchronous online learning, live virtual instruction, and immersive on-campus sessions at MIT. The learning journey focuses on the real-world application of AI—ranging from prompt engineering and intelligent product design to data governance and organizational readiness. By the end of the program, executives walk away with a tailored AI roadmap that prepares them to lead with vision, navigate complex transformations, and drive measurable impact through AI.
Highlights
– Learn directly from MIT CSAIL faculty and research leaders through a flexible mix of live sessions, self-paced modules, and immersive on-campus learning tailored for executive audiences
– Build deep proficiency in AI concepts such as machine learning, deep learning, generative AI, and human-computer interaction, with a strong focus on business application
– Design a customized, board-level AI strategy roadmap that reflects your organization’s priorities, market opportunities, and long-term transformation goals
– Engage in hands-on workshops, masterclasses, and leadership simulations that link AI innovation to strategic decision-making and operational impact
– Benefit from personalized mentorship with a dedicated success coach and logistical support from a program experience manager
– Network and collaborate with global executive peers across industries, exchanging insights on ethical deployment, AI governance, and change leadership
– Optionally attend a two-day post-program networking event at MIT, offering exposure to faculty, alumni, and leaders at the forefront of AI-driven business transformation
– Earn a certificate of completion from MIT xPRO, validating your readiness to lead enterprise-wide AI strategy as a visionary and responsible AI leader
Mode: Online modules and live virtual sessions + in-person immersions
Duration: 6 to 7 months
Rating: 4.8 out of 5
You can Sign up Here
The Artificial Intelligence: Implications for Business Strategy program by MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) is a six-week online AI leadership course designed to empower senior professionals and decision-makers to strategically integrate artificial intelligence into enterprise leadership and innovation agendas. Ideal for current and aspiring C-suite leaders, this program offers an in-depth exploration of core AI technologies—such as machine learning, robotics, natural language processing, and generative AI—through a business-focused lens. The course blends academic rigor with executive-level practicality, equipping participants with the strategic foresight and operational frameworks to steer their organizations in an AI-first world. Structured around flexible weekly modules, the learning journey emphasizes immediate business relevance and practical implementation, culminating in a personalized AI roadmap tailored to organizational goals.
Leaders will not only acquire a robust understanding of AI’s technological and ethical implications, but will also develop the confidence to shape AI-led transformation strategies that drive competitive advantage, productivity, and long-term impact. Guided by globally respected MIT faculty such as Thomas Malone and Daniela Rus, alongside influential experts like Alex Pentland and Regina Barzilay, participants engage in interactive case studies, collaborative forums, and a capstone project with direct strategic value. The program is especially suited for CTOs, CIOs, innovation officers, and business heads looking to bridge the gap between AI capability and executive decision-making, and is designed to foster organizational agility, ethical leadership, and future-proof AI literacy at the highest levels.
Highlights
– Learn from world-renowned MIT faculty and CSAIL leaders such as Thomas Malone, Daniela Rus, Alex Pentland, and Andrew Lo—experts at the intersection of AI and business leadership
– Master six high-impact modules covering applied machine learning, robotics strategy, generative AI, ethical AI adoption, and future AI trends in leadership
– Create a customized AI roadmap as part of a strategic capstone project, focused on driving innovation and transformation within your organization
– Gain insights into human-machine collaboration, AI governance, and how AI can complement rather than replace your workforce
– Experience a flexible online environment that combines rigorous content, real-world applications, peer engagement, and expert support
– Receive personalized support from learning facilitators and success advisers throughout the course, enhancing the executive learning experience
– Earn a certificate of completion from MIT Sloan, with the opportunity to apply the program toward the prestigious MIT Sloan Executive Certificate track
Mode: 100% Online – Self-paced weekly modules with structured engagement and guided application
Duration: 6 weeks (excluding orientation) | 6–8 hours/week | Includes a strategic AI capstone project
Rating: 4.8 out of 5
You can Sign up Here
The Wharton Leadership Program in AI and Analytics stands out among the best AI leadership programs globally, offering a high-impact six-month curriculum tailored for senior executives leading digital and AI transformations. Delivered by Wharton Executive Education in collaboration with Emeritus, the program provides a hybrid format combining asynchronous modules, live faculty sessions, and an optional on-campus networking event at the University of Pennsylvania.
Targeted at CTOs, CIOs, Chief Data Officers, and innovation-focused leaders, the curriculum builds strategic fluency in AI and machine learning, organizational implementation, data-driven decision-making, and responsible AI governance. Its emphasis on practical tools, leadership agility, and ethical considerations makes it highly relevant for today’s tech-enabled C-suite.
One of the program’s key features is the capstone project, which guides participants through the development of a tailored AI implementation strategy—including decision frameworks, data readiness, regulatory considerations, and stakeholder alignment. This output becomes a board-ready blueprint for real-world deployment.
A six-week short course on leading high-impact teams enhances the ability to lead AI adoption across cross-functional units. Live webinars on generative AI (genAI) and large language models (LLMs) keep participants current on emerging trends such as LLM prompting, bias mitigation, and IP challenges, directly addressing the strategic concerns of AI leaders.
Highlights –
– Learn from Wharton faculty and industry experts through a combination of online modules, live sessions, and genAI-focused webinars
– Build an actionable AI strategy through a guided capstone project, aligned with your organization’s technology and compliance needs
– Gain fluency in genAI and LLMs, exploring architectures, applications, and business impact
– Enhance team leadership through targeted training on influencing distributed, high-performance tech teams
– Deepen understanding of AI governance, bias, and regulation for responsible deployment
– Engage with a senior global peer group for cross-industry insights and collaborative learning
– Attend an optional on-campus networking and recognition event to build executive presence and extend your network
Mode: Hybrid – Self-paced + Live online + Optional 2-day in-person immersion
Duration: 6 months
Rating: 4.8 out of 5
You can Sign up Here
The C-Suite Program in Digital Transformation and AI from Kellogg Executive Education is one of the most compelling choices among the best AI leadership programs globally. Built specifically for senior executives and C-suite professionals, this 12-month program blends strategic leadership development with deep, practical immersion in artificial intelligence. Unlike purely technical offerings, this program helps leaders harness AI to drive enterprise-wide transformation—connecting innovation with growth, efficiency, and sustained competitive advantage.
What makes this program exceptional is its end-to-end design that balances strategic frameworks with AI literacy and business impact. Participants are guided through live sessions led by expert faculty, including Professor Birju Shah, who covers key topics like generative AI, machine learning at scale, and data-to-intelligence strategy. The curriculum also includes a capstone project, high-impact electives, and an in-person networking event, ensuring that learning outcomes are immediately transferable to real-world leadership challenges. For executives looking to take ownership of their organization’s AI roadmap—while shaping culture, governance, and innovation from the top—this program delivers a rare combination of depth, flexibility, and elite networking.
Highlights
– Learn directly from Kellogg’s globally recognized faculty and industry practitioners with expertise in digital innovation and AI
– Develop strategic leadership capabilities across five pillars: Becoming a Digital Leader, Identifying Opportunities, Building a Shared Vision, Executing for Today, and Building for Tomorrow
– Gain hands-on experience through a Capstone Project, applying AI strategy and digital transformation tools to real-world leadership challenges
– Participate in a three-day in-person networking event with global executives, faculty, and success coaches for immersive peer learning
– Choose from high-impact electives such as Data Strategy for Generative AI Platforms, Leading with Advanced Analytics, and Competitive Strategy to deepen domain expertise
– Earn an Executive Scholar Certificate and gain exclusive access to Kellogg alumni clubs, career coaching, and lifelong learning resources
– Explore AI-specific modules led by Professor Birju Shah, covering generative AI, machine learning, and predictive intelligence across real-world case studies
Mode: Hybrid – Live online core modules, self-paced learning, electives, and in-person networking sessions
Duration: 12 months (includes required short program and capstone project, along with 3-day in-person event)
Rating: 4.8 out of 5
You can Sign up Here
Build a strong foundation in using AI in financial applications by exploring advanced technologies of AI, machine learning, and generative AI, gaining a theoretical and practical understanding of how businesses use chatbots, APIs, and automation tools to streamline operations while you also learn about major trends and opportunities emerging in AI-driven financial world. The program helps you learn Python without any prior coding experience so you can analyze financial data using Pandas, Matplotlib, and Excel integration while also understanding AI automation with APIs to improve business workflows, with the option to select an elective that enables you to build AI-powered applications for hands-on experience and deep skills. Next, you develop predictive analytics abilities by applying linear and logistic regression models to extract insights and make financial predictions, working through practical hedge fund strategies like predicting stock returns, back-testing trading models, workforce analytics, and dynamic pricing strategies to understand real-world financial applications clearly. Move to mastering decision trees and random forests for complex financial predictions like predicting loan defaults, early mortgage repayments, and AI-powered financial modeling so you can apply these methods to solve real financial challenges and improve your decision-making processes to lead confidently. You will explore generative AI by working with large language models, embeddings, and transformers, learning to develop tools like AI-driven fraud detection systems, classification systems, and chatbots, and automating financial processes while keeping in mind AI biases, cost implications, and reliability issues.
Highlights:
– Columbia Business School Executive Education will issue a digital certificate, confirming you successfully completed this program.
– Many leading industry experts provide first-hand experiences of integrating AI into their work.
– The program has virtual and in-person networking options to help you connect with the faculty, program participants, industry experts, and recruiters.
– You do not need coding experience to join this program, as it is designed for most working professionals and senior students.
– Wall Street Prep is a globally recognized financial training solution provider.
– This program suits early to mid-career professionals from many industries.
Duration: 8 weeks
Rating: 4.8 out of 5
You can Sign up Here
Among the most distinguished short-format AI leadership programs available today, this six-week offering from Oxford’s Saïd Business School delivers exceptional value to professionals seeking to lead in the age of artificial intelligence. It is designed for non-technical executives, senior decision-makers, and business strategists who need a robust understanding of AI’s functionality, business applications, and risks without diving into coding or deep technical mechanics. What makes this programme stand out is its ability to bridge the gap between conceptual AI understanding and strategic executive application, offering a curriculum rooted in Oxford’s research strength and global thought leadership.
Participants are immersed in a content-rich, high-engagement environment where complex AI topics are deconstructed and made relevant to strategic business contexts. From foundational concepts in machine learning and neural networks to emerging applications in generative AI, each module is structured to elevate decision-making and strategic foresight. A major emphasis is placed on the ethical, societal, and legal implications of AI—critical for leaders navigating governance and regulatory landscapes. The programme culminates in a capstone project that empowers learners to design and pitch a custom AI deployment strategy for their own organization, integrating insights from the course into a concrete business transformation plan.
Further enriching the experience is a strong focus on peer learning and global networking. Executives from diverse industries join the cohort, enabling vibrant discussions, cross-industry benchmarking, and real-world exchange of AI challenges and solutions. Participants also gain exclusive access to Oxford Saïd’s Executive Education alumni community, unlocking long-term learning opportunities, curated events, and valuable networking touchpoints. Oxford’s academic excellence is complemented by a delivery model tailored for working professionals—offering flexibility, structure, and personalized support throughout the learning journey.
Highlights –
– Receive a certificate of attendance from Saïd Business School, University of Oxford, validating your executive proficiency in AI strategy
– Gain deep insights into machine learning, neural networks, deep learning, and generative AI—without needing technical expertise
– Build a personalized AI strategy project that addresses organizational priorities, innovation potential, and strategic alignment
– Explore the ethical, regulatory, and societal dimensions of AI, and learn how to mitigate algorithmic bias and safeguard responsible deployment
– Learn from distinguished Oxford faculty and global experts, including Prof. Matthias Holweg, Prof. Luciano Floridi, and thought leaders from The Economist, Oxbotica, and the Oxford Internet Institute
– Access Oxford’s Executive Education alumni community and the edX Career Engagement Network to extend your professional influence and development
– Experience a globally respected academic environment enriched with real-world case studies, industry applications, and multidisciplinary expertise
– Benefit from dedicated support through a personal Success Advisor, expert tutoring, and a 24/7 global tech and admin helpdesk
Mode: 100% Online – weekly self-paced learning with faculty interaction and peer collaboration
Duration: 6 weeks (plus 1-week orientation)
Rating: 4.7 out of 5
You can Sign up Here
This online program is designed for highly skilled executives, managers, and consultants who want to implement AI across enterprise functions. It is also perfect for investors who want to obtain a deep understanding of AI. In this comprehensive curriculum, you will get a perspective on how AI is being used in practice across companies, enterprises functions, and a group of industries. Moreover, you will learn how to implement artificial intelligence initiatives and identify challenges related to responsible AI. The course is prepared in partnership with Kellogg School of Management to provide you with an extensive learning experience. After concluding the prospectus, you will receive a verified digital certificate of achievement from Kellogg Executive Education.
Highlights –
– Explore how AI can be used to optimize assets, minimize operating costs, enhance quality, and improve safety
– Learn to adopt agile methods for AI projects, principles of responsible AI, and govern AI projects to drive social results for your business
– Get insights on examining customer segments, conversion rate optimization, and customer satisfaction using the KNIME analytics platform
– Know how to use the AV Efficient Frontier framework to define the appropriate level of dependency for a specific use case
Duration: 4 hours
Rating: 4.2 out of 5
You can Sign up Here
Review: Easy to understand content and methodology, reinforced by real-world use cases. – Glenn J
This course explores the use of generative AI for transforming businesses as it is designed to help professionals acquire knowledge and skills to leverage generative AI for innovative and efficient business solutions after studying the fundamentals of generative AI, prompt engineering, ChatGPT, and other foundational concepts related to this technology. After studying the prompt engineering techniques, you will study different tools needed to create compelling and contextually accurate outputs for use in different business applications, where you will learn to develop your skills in crafting effective prompts to obtain accurate and optimized results from generative AI models. You will use the workflow automation module to further improve your efficiency in integrating generative AI into different business processes to automate repetitive tasks and streamline operations, including sales and marketing operations, where you can personalize marketing campaigns, predict customer behavior, and develop effective sales plans with improved customer engagement. You will learn the use of generative AI in software engineering to understand how software development can be accelerated with quick code generation and debugging, enhancing productivity and innovation of tech team members, as you will also improve customer service operations after learning how to use generative AI for providing better customer support services.
Highlights:
You will receive a joint certificate from Purdue University Online and Simplilearn on completing this program.
You can join this program with at least five years of work experience and English knowledge.
Live online classes ensure you connect directly with the faculty and staff, improving learning outcomes.
You get a membership of Purdue’s Alumni Association.
The curriculum includes more than 50 hours of content through live online classes.
You will explore many important generative AI tools, including ChatGPT, Gemini, and CodeWhisperer.
Duration: 4 Months
Rating: 4.7 out of 5
You can Sign up Here
Created in partnership with Purdue University and collaboration with IBM, this online certification course is designed for working professionals with programming knowledge. Signing up for this curriculum will provide you with the best results through Simplilearn’s intensive Bootcamp learning model. During this comprehensive curriculum, you will cover key concepts such as Statistics, Machine Learning, Deep Learning, NLP, and Reinforcement Learning. These classes will be delivered via an interactive learning model with worldwide practitioners, industry projects, and live sessions. By the end of this online program, you will have a detailed understanding of Python language and its libraries, writing scripts using the Jupyter-based lab environment.
Highlights –
– A strategic program included with multiple learning outcomes, such as Data Science, Deep Learning, Python, Natural Language Processing, and more
– Get access to IBM Cloud platforms featuring IBM Watson and other cloud services
– Gain the skills required to become an AI & ML engineer, such as Python, Supervised & Unsupervised Learning, Neural Network, and NLP
– Get 24/7 learning support and access to learner forums and community, as well as receive masterclasses from university faculty and top industry leaders
– Learn to enhance your resume and prepare for interviews with valuable insights from industry experts
Duration: 12 months
Rating: 4.4 out of 5
You can Sign up Here
Review: I would give a 5-star rating for the Simplilearn course I took. It helps me understand the content easily through online self-learning videos, and trainers assist us with their enriched knowledge, as well. – Janani Varun
Related: Reasons Why You Must Study Artificial Intelligence
Recognized for its strategic focus and interdisciplinary depth, the Oxford AI-Driven Business Transformation Executive Programme stands out as one of the best AI leadership programs available today. Offered by the world-class Saïd Business School, University of Oxford, this 6-month online programme is tailored for senior executives who are responsible for leading their organizations through the complexities of AI adoption, digital transformation, and enterprise innovation.
What makes this programme exceptional is its integration of three flagship executive modules—Artificial Intelligence, Strategic Innovation, and Executive Strategy—into a cohesive learning journey. Unlike purely technical AI courses, it equips leaders with the vision, frameworks, and governance models needed to drive systemic change across industries. Participants explore topics such as the organizational structures required for AI to thrive, the ethical and societal implications of intelligent technologies, and how to align AI investments with long-term strategic goals. Using Oxford’s proprietary 4Ps framework—Purposes, Players, Partnerships, and Processes—executives develop an actionable capstone project that reflects their organization’s AI maturity and business priorities.
The programme is taught by esteemed Oxford faculty and supported by over 25 guest experts in AI, innovation, strategy, and transformation. Its focus on executive-level impact makes it ideal for CEOs, CTOs, CIOs, chief transformation officers, and senior directors who want to move from AI exploration to enterprise-wide execution.
Highlights –
– Earn an Executive Certificate from Saïd Business School, University of Oxford, signaling world-class leadership readiness in AI transformation
– Master the strategic use of AI with Oxford’s 4Ps model—applied to real business challenges via a personalized capstone project
– Understand how to govern, scale, and measure AI across business units in complex and regulated environments
– Engage with live sessions, interactive content, and cross-industry case studies from global organizations
– Learn from Oxford faculty and 25+ guest experts in AI ethics, digital strategy, and leadership
– Join a senior-level cohort and gain lifelong access to Oxford’s executive alumni network
– Receive hands-on support from tutors, advisors, and a global success team throughout the journey
Mode: 100% Online – self-paced modules with scheduled live sessions and collaborative projects
Duration: 6 months (including orientation and two programme breaks)
Rating: 4.6 out of 5
You can Sign up Here
For AI leaders driving innovation in an increasingly complex digital landscape, the Wharton Chief Technology Officer (CTO) Program delivers a powerful executive education experience designed to amplify your strategic influence. Over the course of 9 to 12 months, this program prepares senior AI professionals to go beyond model-building—empowering them to lead enterprise-wide transformation through responsible and scalable AI deployment.
The program features 18 weeks of core modules with dedicated content on artificial intelligence, machine learning, the AI stack, and competitive strategy. It delves into how AI is reshaping industries, unlocking new business models, and influencing global governance. Complementing this is a suite of three electives, allowing participants to personalize their learning across domains such as innovation leadership, product strategy, and M&A execution.
Wharton’s faculty—including renowned voices like Prof. Lori Rosenkopf, Prasanna Tambe, and Kevin Werbach—lead engaging live sessions and research-driven case studies. AI-specific webinars further explore generative AI (genAI), large language models (LLMs), regulatory frameworks, and accountable AI governance—giving participants the insights needed to lead responsibly at scale.
Ideal for Heads of AI, Chief AI Officers, Directors of Data Science, and emerging tech leaders, this program equips you to influence digital strategy, shape policy conversations, and unlock enterprise-level AI value.
Highlights:
– Deep coverage of AI leadership topics including AI/ML strategy, the evolving AI ecosystem, tech policy, and global competitive implications.
– Participate in live webinars on genAI, LLM adoption in enterprise settings, and frameworks for ethical, explainable, and regulated AI deployment.
– Develop a strategic reflection project that applies AI thinking to a real business challenge in your organization, guided by faculty and peer insights.
– Customize your learning path with electives in technology acceleration, innovation strategy, executive influence, and organizational leadership.
– Learn from top-tier faculty who specialize in digital transformation, AI economics, and data ethics—balancing theory with practical execution.
– Join a global cohort of senior leaders, technologists, and executives to exchange insights and build a robust professional network.
– Earn a Wharton Executive Education certificate and become eligible to apply for alumni status through additional qualification routes.
Mode: Online core modules and live series + optional on-campus networking
Duration: 9 Months
Rating: 4.8 out of 5
You can Sign up Here
The contemporary business world requires advanced leadership skills, and this program promises a deep exploration of those skills to improve your strategic decision-making, negotiation, influencing, self-awareness, communication, and strategy skills with a structured online executive education program on general management. This transformative and comprehensive learning journey will enable you to navigate complex business challenges so you know how to ensure interdisciplinary collaboration that sparks innovation with a meaningful change in your organization and helps it achieve target goals easily without compromising on its core values or using more than necessary resources. The program prepares you to develop effective strategies to handle complex and uncertain business challenges by building a foundation of critical thinking to solve even the toughest business problems with enhanced negotiation skills, successful influencing, and maximized management impact. The faculty of this program will make you aware of advanced management and leadership techniques you can use to achieve operational excellence, drive growth, and build strong management teams ready to deliver competitive value and facilitate continuous innovation and transformation across the organization.
Highlights:
The core curriculum of this program ensures you get an in-depth understanding of advanced management, leadership, innovation, and strategy topics.
You will have your action learning group project to develop your ideas and solutions to solve given business challenges.
The program presents an opportunity to interact with the faculty and peers during the on-campus immersive networking event.
You will be ready with practical solutions you can apply immediately after completing this program.
The world-renowned faculty of MIT Sloan conducts the course and has extensive industry and research experience.
You will get more than 200 hours of interactive educational sessions with faculty, peers, and well-known industry experts.
Duration: 7 months
Rating: 4.8 out of 5
You can Sign up Here
The Global C-Suite Program by Wharton Executive Education is a top-tier choice among the best AI leadership programs for senior executives responsible for leading artificial intelligence initiatives, overseeing data-driven transformation, and shaping enterprise innovation strategies. While not exclusively focused on AI, the program provides the strategic depth, cross-functional leadership development, and organizational insight that AI leaders need to successfully scale intelligent technologies across their organizations.
Over a 9 to 12-month period, the program delivers a comprehensive curriculum covering global strategy, value creation, competitive advantage, and innovation leadership—all core competencies for executives deploying AI to drive growth, efficiency, and customer value. The hybrid format includes asynchronous modules, live faculty-led sessions, executive reflections, and peer collaboration. For Chief AI Officers, Chief Data Officers, and senior innovation leaders, the program enhances the ability to translate technical capabilities into enterprise-wide impact. Participants also gain exposure to global executive perspectives and access to Wharton’s world-renowned faculty. A two-day, in-person networking and recognition event at Wharton’s University of Pennsylvania campus provides additional value through high-level engagement and visibility.
Highlights
– Learn from Wharton’s leading faculty and business experts through a mix of live virtual sessions and flexible, self-paced content
– Build enterprise leadership skills to scale AI across functions while aligning with business strategy and long-term goals
– Strengthen your ability to manage cross-functional teams, stakeholder alignment, and ethical AI deployment
– Apply insights to real AI and digital transformation challenges through structured executive reflections
– Customize your learning journey with three electives, including Strategic Innovation, Executive Presence, Corporate Governance, and Future of Work
– Participate in a two-day on-campus networking and recognition event alongside global C-suite peers
– Qualify to apply for Wharton alumni status (additional criteria apply), unlocking access to international leadership forums and alumni networks
Mode: Online asynchronous and live modules + optional on-campus networking
Duration: 9–12 months
Rating: 4.8 out of 5
You can Sign up Here
If you are a technical product leader or technology entrepreneur and want to enhance your understanding of AI technology basics and tools, this online interactive program is a great option. It is ideally organized for AI startups founders to help them learn a verified framework to build viable AI products and network with other technologists. The classes are prepared by skilled professionals at MIT xPRO to provide an intuitive learning experience. During this online curriculum, you will get a certificate from MIT xPRO to recognize your skills and success with insights and examples from renowned MIT faculty. After concluding this program, you will be able to implement comprehensive AI strategies in your business.
Highlights –
– Learn how artificial intelligence and generative adversarial networks can be used to create fake images and videos from real data
– Identify several machine learning algorithms and define the different methods such as Bayesian and regression models
– Learn to define the proper level of machine participants in interactions with humans and computers
– Get familiar with the designing stages included in AI-based products with a focus on cost metrics and technical needs
Duration: 6 hours
Rating: 4.7 out of 5
You can Sign up Here
If you are eager to upskill and advance your career by implementing AI applications in your business, then this online program is for you. In this curriculum, you will learn how to build your leadership credibility by receiving a UC Berkeley Executive Education certificate. This curriculum includes live and recorded lectures, case studies, assignments, applied learning opportunities, and interactive discussion groups. Throughout this online course, you will work with different learning modules, including AI and business introduction, ML basics, neural networks and deep learning, robotics, AI strategy, and many more. After the course conclusion, you’ll be able to compete in the new tech-driven economy by adopting innovative AI technologies. Have a look at our compilation of Best Artificial Intelligence Executive Programs.
Highlights –
– Learn about the basics and advanced concepts of AI-driven technologies, including capabilities and limitations, while understanding AI and its business applications
– Recognize the implications of AI on business strategy and learn to develop and execute an AI strategy to create a competitive advantage
– Explore how to embed AI in your organization and the challenges of organizational transformation
– Learn about supervised and unsupervised learning and the importance of data getting and managing it for machine learning technology
Duration: 4 hours
Rating: 4.5 out of 5
You can Sign up Here
Review: The program gives you a clear view on how a business could adopt AI, how to spot opportunities and risks. – Hector Gonzalez
Related: Top Machine Learning Interview Questions and Answers
This course is your perfect opportunity to develop your knowledge and skills in advanced technologies of generative AI to achieve growth, innovation, digital transformation, and success across your organization with minimum effort after you have learned essential concepts of generative AI that are set to transform all industries. You will gain a foundational understanding of programming under the optional module of Python Basics to help you extract more advanced AI content from generative AI tools, where you will use effective, prompt engineering and ChatGPT-like tools to understand the practical applications of generative AI. The course explores the complexities of advanced generative AI models and their underlying structures under the module of models and architecture to enhance the ability of participants to design and implement advanced AI systems, followed by learning to build large language model applications and create AI solutions. Generative AI is not limited to text content only and offers many possibilities through its image generation capabilities, and this topic is covered in detail under the next module that explores the capabilities of generative AI in producing high-quality images, including highly realistic ones, allowing you to create amazing visual content creatively. The Generative AI governance module prepares you to understand the governance and ethical considerations associated with using this technology to ensure you can manage and govern generative AI applications properly within your organization and harness the full potential of this technology while complying with legal and ethical expectations.
Highlights:
You can join this program with a basic understanding of mathematics and coding concepts and if you have a high school diploma or equivalent.
You will receive a joint certificate issued by Purdue University Online and Simplilearn.
Learn to build generative AI applications with hands-on projects.
The curriculum offers more than 50 hours of learning experience through live online classes.
You get a membership of Purdue’s Alumni Association.
Several payment and financing options are available to pay the program fee.
Duration: 4 months
Rating: 4.8 out of 5
You can Sign up Here
This program offers you the opportunity to become the exceptional global leader high in demand across all industries as companies seek experienced executives with updated leadership skills so they can handle the challenges of today’s businesses that face disruptive technologies, fast-changing market dynamics, unpredictable customer demands, and other issues. Upon completing this program, you will walk away with tools and frameworks that improve your leadership skills and align the purpose with the organization’s overarching goals, so you will be ready to tackle project challenges and navigate difficult situations by guiding your teams and developing successful projects and processes. You will acquire leadership strategies essential to drive organizational change and prepare for the future while maintaining optimal team performance after learning theoretical knowledge and gaining practical experience by developing agility and resilience for your organization. A unique feature of this program is that it allows participants to access a network of more than 5000 global leaders, helping them explore vast opportunities for learning, growth, and collaboration that help expand professional connections and opportunities.
Highlights:
Self-paced weekly modules of this program require only 7-10 hours per week for study.
Learn with a global cohort of leaders who join this program to improve and update their leadership skills.
You receive flexible payment options to pay for the program.
Get a certificate of attendance for joining and completing this online program.
Provide your email address and name to get the course prospectus quickly from the linked page.
A flexible online course that does not disturb your daily work schedule.
Duration: 8 weeks
Rating: 4.7 out of 5
You can Sign up Here
This program helps participants cultivate a management mindset because organizations now require managers with multiple skills in finance, operations, strategies, human resources, and others so they can make decisions that succeed and help the company meet its goals and vision. Wharton’s fully online Management Development Program over six months will improve your hard and soft skills so you become an effective leader ready to accept management challenges with insights, agility, and confidence in any organization and industry. Join this program to improve your strategic decision-making and operational abilities, build trust, create effective communication, and develop an excellent understanding of operational, marketing, accounting, and financial topics, such as brand positioning, customer analytics, financial statements, and investments. This online executive education program on management is your opportunity to develop skills that help plan organizational growth by improving operational processes, organizational architecture, and decision trees.
Highlights:
The program has a comprehensive curriculum covering several topics to improve managerial insights and skills.
The curriculum includes an optional two-day on-campus networking and learning event that celebrates the course’s completion.
A flexible online executive education program with recorded lectures, so you can maintain your work-life balance.
The same faculty teaching in Wharton’s MBA program host this online program on management and leadership.
Network with high achieving global peers who join this program along with you.
You will receive a personal career enhancement assessment to improve your career prospects.
Duration: 6 months
Rating: 4.8 out of 5
You can Sign up Here
Boost your career prospects by getting skills in machine learning and artificial intelligence. This program will prepare you for a future where these two technologies will play an important role in shaping the business landscape. You will be ready for the challenges companies will face in the coming years. AI and ML are transforming businesses at a rapid pace. They help improve all business departments. Automate business processes, offer seamless customer experience and deliver intelligent services. You will explore all these possibilities of AI and ML from the business point of view. There is high demand for professionals with AI/ML skills. Develop an advanced knowledge of these technologies under the guidance of Berkeley’s world-class faculty. They will offer you cutting-edge knowledge of these technologies. You will get hands-on practical experience by working on your AI projects. Acquire market-ready skills within a short period with this intensive training program in AI. With a vastly improved understanding of AI/ML concepts, you can identify your projects that can do better using these technologies. You will know how to implement AI solutions under different circumstances.
Highlights:
– Develop a comprehensive knowledge of AI/ML concepts
– Learn how to use these technologies for various business applications
– World-renowned faculty of UC Berkeley
– Interact with industry experts to learn from their AI implementation experience
– Work on your ML/AI capstone project
Duration: 6 months
Rating: 4.8 out of 5
You can Sign up Here
Join this program to develop your ability to analyze complex issues that affect businesses and make informed decisions that achieve the desired outcomes for your company, which now seeks exceptional business leaders knowledgeable about the latest business leadership concepts. Learn to make informed decisions even when faced with uncertainty by using analytical tools that help analyze various factors from different angles and find the patterns that indicate the root cause of the problem, helping you overcome many difficulties in decision-making and devise the best solution. The course will prepare you to craft competitive strategies and understand the underlying information about strategic management to analyze industry dynamics, assess competitive positioning, and develop sustainable growth strategies while maintaining your company’s competitive advantage. You will study how to leverage the social networks of professionals and businesses to drive business growth and success, cultivate professional relationships, and access resources and opportunities on a global scale. You will also study finance principles, including investment evaluation, the time value of money, finance, and making successful financial decisions that maximize value, reduce resource use, and ensure long-term sustainability.
Highlights:
The course is supported by GetSmarter, the world’s leading edtech company, which offers the best courses to professionals.
An online education from Yale School of Management Executive Education to update your management and leadership skills.
Relevant and verifiable competencies that get you validation from international universities and institutions.
The online learning experience with personal support throughout the course.
Download the course prospectus by providing your name and email address on the linked page.
Top management faculty from Yale School of Management with several years of academic and teaching experience.
Duration: 8 weeks
Rating: 4.7 out of 5
You can Sign up Here
Artificial intelligence and machine learning technologies offer many possibilities to improve business processes. Caltech has developed this AI and machine learning bootcamp to get you started in these two amazing technologies that are changing the way businesses operate. The program covers major AI concepts. The bootcamp starts with an introduction to AI. The faculty will demystify this complex technology and help you understand its many facets. The initial module will cover the main AI concepts, including ML and deep learning. Next, you will delve deep into Python and data science. Get an overview of how Python is used for data analytics. Learning Python is crucial for those working in a data science role. Become an expert in ML that helps automate the data analysis process. Understand the supervised and unsupervised learning parts of machine learning. You will get hands-on practical experience in developing algorithms. The course will help you master deep learning through TensorFlow and Keras frameworks. Next, you will move to the computer vision module, covering important topics like object detection and OCR. You will work on capstone projects to test your skills learned in this bootcamp program.
Highlights:
– Boost your career prospects with a deep understanding of AI and ML technologies
– Learn under the guidance of faculty with experience in AI and ML
– Validate your skills with the help of capstone projects
– Distinguished instructors will deliver masterclasses
– The course covers important programs, tools, and platforms used in AI projects
Duration: 0 months
Rating: 4.7 out of 5
You can Sign up Here
Related: Reasons Why You Must Study AI Engineering
Leading in Artificial Intelligence: Exploring Technology and Policy (On-Campus) (Harvard Kennedy School)
Created in connection with Harvard’s Kennedy School and the John A. Paulson School, this course can help you learn to difference between AI & ML and understand their applications. Through this interactive curriculum, you will learn to determine appropriate technologies for your organization and sharpen your important thinking around problems, such as privacy & security. Together with the help of peers and recognized Harvard faculty, you will be immersed in a live learning experience with learning opportunities and activities. On the completion of this curriculum, you will gain valuable new insights into how artificial intelligence can be used for the public good.
Highlights –
– A practical program created to help you expand your horizon in AI technologies and lead your company towards success
– Learn to strengthen your capacity to lead in AI, including how to mitigate risk without inhibiting innovation
– Be prepared to help shape conversations, be challenged, and gain new insights about AI and ML technologies
– Prepare yourself with live sessions, interactive quizzes, practice exams, and hands-on exercises
– Understand how varied AI technologies work to address questions around fairness, privacy, and bias
Duration: Variable
Rating: 4.1 out of 5
After thorough research of various e-learning platforms and resources, the above programs are gathered to provide you with the best learning experience. Besides, it includes all the study material required to expand your knowledge. So, enroll today to get the best deals on each program.
| 2025-06-22T00:00:00 |
2025/06/22
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https://digitaldefynd.com/best-ai-leadership-courses/
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"date": "2024/02/01",
"position": 30,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/01",
"position": 30,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 51,
"query": "AI business leaders"
},
{
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"position": 32,
"query": "artificial intelligence business leaders"
},
{
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"position": 85,
"query": "AI business leaders"
},
{
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"position": 30,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 56,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 30,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 55,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 30,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 51,
"query": "AI business leaders"
},
{
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"position": 67,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 32,
"query": "artificial intelligence business leaders"
},
{
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"position": 60,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
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"query": "artificial intelligence business leaders"
},
{
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"position": 60,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 34,
"query": "artificial intelligence business leaders"
}
] |
AI for Business Leaders: Transforming Leadership with Artificial ...
|
AI for Business Leaders: Transforming Leadership with Artificial Intelligence
|
https://www.infoprolearning.com
|
[] |
This comprehensive program equips leaders with the knowledge, skills, and strategic mindset to harness the power of AI/ML for transformative business outcomes.
|
This foundational course provides a solid understanding of AI and ML concepts, applications, and limitations. By the end of this course, you'll be able to confidently discuss AI technologies, identify potential use cases in your industry, and understand the key considerations for AI adoption in your organization.
Develop a comprehensive understanding of AI and ML concepts
Identify potential applications of AI within your organization
Recognize the limitations and challenges of AI implementation
Build the knowledge base needed to make informed decisions about AI adoption
Description: Learn how leaders can effectively integrate AI into their organization's operations and create a strategic vision for AI adoption. Upon completion, you'll be equipped to develop an AI integration roadmap, lead AI initiatives, and foster a culture of innovation that embraces AI technologies.
| 2024-10-25T00:00:00 |
2024/10/25
|
https://www.infoprolearning.com/ai-for-business-leaders/
|
[
{
"date": "2022/12/01",
"position": 55,
"query": "AI business leaders"
},
{
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{
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},
{
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{
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"position": 24,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 24,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/01",
"position": 24,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 53,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 22,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 37,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 24,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 60,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 24,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 56,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 24,
"query": "artificial intelligence business leaders"
},
{
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"position": 53,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 38,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 22,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 55,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 27,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 53,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 27,
"query": "artificial intelligence business leaders"
}
] |
AI in Business and Corporate Strategy | Microsoft AI
|
AI in Business and Corporate Strategy
|
https://www.microsoft.com
|
[] |
Discover how business leaders are driving impact with AI · The return on investment for generative AI is $3.7x per $1. · Generative AI usage grew from 55% in 2023 ...
|
Scalability and flexibility - Scale seamlessly to meet growing demand and flexibly adapt to market needs using Microsoft's cloud infrastructure.
- Scale seamlessly to meet growing demand and flexibly adapt to market needs using Microsoft's cloud infrastructure. Integration with Microsoft ecosystem - When you develop AI solutions that integrate smoothly with Microsoft 365, Dynamics 365, and other Microsoft products, you’ll enhance their value proposition and appeal to potential customers.
- When you develop AI solutions that integrate smoothly with Microsoft 365, Dynamics 365, and other Microsoft products, you’ll enhance their value proposition and appeal to potential customers. Marketplace opportunities - Take advantage of the Microsoft commercial marketplace to reach a global audience, using Microsoft's extensive partner network and marketing resources to boost your application's visibility and sales.
- Take advantage of the Microsoft commercial marketplace to reach a global audience, using Microsoft's extensive partner network and marketing resources to boost your application's visibility and sales. Compliance and security - Ensure your AI applications meet industry standards for security and compliance, using Microsoft's comprehensive security measures and compliance certifications.
- Ensure your AI applications meet industry standards for security and compliance, using Microsoft's comprehensive security measures and compliance certifications. Support and resources - Access a wealth of resources, including technical support, training, and community forums, through ISV Success, a program to help you develop, deploy, and market your AI applications effectively.
Yes, you can develop AI applications to use and sell outside of your organization. Microsoft has a wide range of AI tools and services, such as Azure AI , that can help you build innovative applications that can be marketed and sold to a wide audience.Here are more benefits to take advantage of during your application development journey:By developing AI applications with Microsoft's tools and platforms, you can create innovative solutions that not only enhance your business operations but also open new revenue streams and market opportunities.
| 2022-12-01T00:00:00 |
https://www.microsoft.com/en-us/ai/ai-business-value-and-benefits
|
[
{
"date": "2022/12/01",
"position": 57,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 59,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 55,
"query": "AI business leaders"
},
{
"date": "2023/08/01",
"position": 59,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 59,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 59,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 59,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 59,
"query": "AI business leaders"
},
{
"date": "2024/12/01",
"position": 59,
"query": "AI business leaders"
}
] |
|
AI for Business Leaders Program | IIM Calcutta - Talentsprint
|
AI for Business Leaders Program
|
https://talentsprint.com
|
[
"A Strategic Programme For Leaders To Leverage Ai",
"The Ai For Leaders Course Is Offered In Collaboration With Iim Calcutta",
"Each Module Crafted For The Ai For Leaders Course Deep Dives Into The",
"Fundamentals Of Ai",
"Its Business Applications",
"Its Impact On The Future Of Work.",
"Meet Your Future Mentors In The Ai For Leaders Programme."
] |
Join IIM Calcutta's AI for Leaders course. Boost your leadership skills and drive business innovation with cutting-edge AI strategies and insights.
|
*Selection for the programme will be done by IIM Calcutta and is strictly based on the education,
work experience, and motivation of the participants.
**Scanned copies to be submitted within 7 days
a) Education Certificate b) Experience Letter / Latest Pay Slip
| 2022-12-01T00:00:00 |
https://talentsprint.com/course/ai-for-leaders-iim-calcutta
|
[
{
"date": "2022/12/01",
"position": 60,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 60,
"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 26,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/04/01",
"position": 60,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 60,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
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"query": "artificial intelligence business leaders"
},
{
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"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 27,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/08/01",
"position": 60,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 60,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 27,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 26,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 60,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 27,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 27,
"query": "artificial intelligence business leaders"
},
{
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"position": 26,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 60,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 26,
"query": "artificial intelligence business leaders"
},
{
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"position": 26,
"query": "artificial intelligence business leaders"
},
{
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},
{
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},
{
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},
{
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},
{
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"position": 60,
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},
{
"date": "2025/01/01",
"position": 86,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 26,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 69,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 32,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 69,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 32,
"query": "artificial intelligence business leaders"
}
] |
|
Certified AI Transformation Leader | CAITL™ | AI Leader Certifications
|
Certified AI Transformation Leader
|
https://www.usaii.org
|
[
"United States Artificial Intelligence Institute",
"Usaii"
] |
Leadership certification program in AI for business leaders and decision-makers. Learn AI strategy and implementation practices with real-world use cases.
|
The Certified AI Transformation Leader (CAITL™) certification program is an AI Excellence Program aimed at senior executives, business leaders, and C-suite professionals to power up AI transformation for business growth.
Programming skills are not required to apply for CAITL™ certification.
| 2022-12-01T00:00:00 |
https://www.usaii.org/artificial-intelligence-certifications/certified-ai-transformation-leader
|
[
{
"date": "2022/12/01",
"position": 65,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 64,
"query": "AI business leaders"
},
{
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"position": 76,
"query": "artificial intelligence business leaders"
},
{
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"query": "AI business leaders"
},
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},
{
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"position": 65,
"query": "AI business leaders"
},
{
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"query": "artificial intelligence business leaders"
},
{
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"query": "artificial intelligence business leaders"
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{
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"query": "AI business leaders"
},
{
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"position": 71,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/03/01",
"position": 8,
"query": "AI business leaders"
},
{
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"query": "artificial intelligence business leaders"
},
{
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},
{
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},
{
"date": "2024/07/01",
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"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 76,
"query": "artificial intelligence business leaders"
},
{
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"query": "artificial intelligence business leaders"
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{
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},
{
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},
{
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},
{
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},
{
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},
{
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"query": "artificial intelligence business leaders"
},
{
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"position": 65,
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},
{
"date": "2025/02/01",
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},
{
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"position": 64,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 60,
"query": "artificial intelligence business leaders"
}
] |
|
10 best AI business courses for those who lead in 2025 - Jotform
|
10 best AI business courses for those who lead in 2025
|
https://www.jotform.com
|
[
"Jotform Editorial Team"
] |
Artificial Intelligence: Implications for Business Strategy · AI for Everyone · AI For Business Leaders · Leading AI and Digital Transformation ...
|
Top AI courses for business leaders Artificial Intelligence: Implications for Business Strategy AI for Everyone AI For Business Leaders Leading AI and Digital Transformation Artificial Intelligence: Business Strategies and Applications The Business of AI: Strategies for Leaders Artificial Intelligence in Healthcare AI for Supply Chain Management Generative AI for Business Leaders AI Governance: Technology, Ethics and Institutions
Artificial intelligence (AI) is transforming business decision-making, driving innovation, and improving efficiency. As AI adoption grows, AI literacy is essential in leadership in order to stay competitive. Online and in-person courses offer valuable insights, equipping executives with the knowledge they need to leverage AI effectively in their organizations.
In this blog we’ll discuss what to look for in an online course, as well as the top 10 courses currently on the market.
What to look for in an AI course for business leaders
When selecting an AI course, consider the following factors to ensure it aligns with your leadership goals:
Curriculum essentials AI fundamentals: A solid understanding of machine learning, neural networks, and data analytics. Real-world business applications: Insights into how AI can solve business problems and create opportunities. Ethics and governance: Guidance on responsible AI implementation and ethical considerations.
Practical vs theoretical approaches Hands-on projects: Courses offering practical exercises enable you to apply AI concepts directly to your business context. Case studies: Learning from real-world examples helps understand the practical implications of AI strategies.
Course format Online vs in-person: Online courses offer flexibility, while in-person sessions may provide more networking opportunities. Self-paced vs instructor-led: Self-paced courses allow you to learn on your schedule, whereas instructor-led courses offer structured timelines and direct interaction.
How to choose the right AI course for your leadership goals
Selecting the best AI course as a business leader requires aligning the course content with your leadership objectives and business needs. Here’s how to make the right choice:
1. Match course content to your business needs
Not all AI courses are designed with executives in mind. Some focus on technical AI development, while others cater to decision-makers and strategists:
If you need AI strategy knowledge, opt for courses emphasizing business applications, ethics, and governance.
If you want to understand AI tools but not develop them, choose courses focusing on AI-driven decision-making and automation.
Look for tailored programs for industry-specific applications (e.g. AI in finance, healthcare, or manufacturing).
2. Consider time commitment and ROI
As a leader, your time is valuable. AI courses vary in duration and intensity:
Short courses (4-6 weeks): Great for a foundational understanding without major time investment.
Executive programs (8-12 weeks): Offer in-depth knowledge with real-world applications.
Full-fledged certifications (3-plus months): Best for leaders who want a strong AI foundation to drive organizational change.
3. Industry-specific AI courses vs general AI knowledge
If AI is shaping your industry significantly (e.g. AI-powered customer analytics in marketing, AI-driven automation in manufacturing), an industry-specific course may be more beneficial. However, a general AI leadership program might be better if you want a broad understanding that applies to multiple business areas.
4. Certification and career impact
Accredited courses from reputable institutions (Harvard, MIT, Stanford) or industry leaders (Google, Microsoft, IBM) can add credibility to your expertise. Certifications can:
Enhance your professional reputation.
Demonstrate AI competency in leadership roles.
Support career advancement and board-level AI strategy involvement.
The 10 best AI courses for business leaders
AI is transforming industries, and business leaders must stay ahead by understanding its applications, challenges, and opportunities. Whether you’re a complete beginner or a seasoned executive looking to integrate AI into your business strategy, these courses offer valuable insights.
1. Artificial Intelligence: Implications for Business Strategy — MIT Sloan
This course by MIT Sloan provides a solid foundation in AI fundamentals, ethical considerations, and real-world applications to help leaders integrate AI into their organizations effectively.
Best for: Strategic leadership and AI implementation in enterprises
Strategic leadership and AI implementation in enterprises Institution/Developer: MIT Sloan Executive Education
MIT Sloan Executive Education What you’ll learn: The fundamentals of artificial intelligence and machine learning; the ethical and strategic considerations in AI adoption; real-world applications of AI across various industries
The fundamentals of artificial intelligence and machine learning; the ethical and strategic considerations in AI adoption; real-world applications of AI across various industries Outcomes: Gain a solid understanding of AI’s business applications; enhance your strategic decision-making skills with AI-driven insights; earn a certificate from MIT Sloan Executive Education to showcase your expertise
Gain a solid understanding of AI’s business applications; enhance your strategic decision-making skills with AI-driven insights; earn a certificate from MIT Sloan Executive Education to showcase your expertise Plans/Pricing: $3,850 for a 6-week, requiring an estimated 6-8 hours of study per week
2. AI for Everyone — Coursera
Designed for non-technical professionals, this course, delivered by Andrew Ng, co-founder of Google Brain, demystifies AI concepts. It enables business leaders to recognize AI’s potential, collaborate with AI teams, and implement AI strategies within their organizations.
Best for: AI beginners and non-technical business leaders
AI beginners and non-technical business leaders Institution/Developer: Coursera
Coursera What you’ll learn: Understand key concepts such as neural networks, machine learning, deep learning, and data science; recognize potential areas to apply AI within your organization; develop skills to work effectively with AI teams and formulate AI strategies
Understand key concepts such as neural networks, machine learning, deep learning, and data science; recognize potential areas to apply AI within your organization; develop skills to work effectively with AI teams and formulate AI strategies Outcomes: Ability to identify and implement AI solutions to address organizational challenges; learn to communicate and collaborate with AI professionals to drive projects forward; equip yourself to participate in ethical and strategic discussions regarding AI deployment
Ability to identify and implement AI solutions to address organizational challenges; learn to communicate and collaborate with AI professionals to drive projects forward; equip yourself to participate in ethical and strategic discussions regarding AI deployment Plans/Pricing: Free access (limited), financial aid available
3. AI For Business Leaders — Udacity
This hands-on course equips business professionals with the necessary knowledge to integrate AI into their operations. It covers data management, AI-driven decision-making, and ethical considerations, helping leaders develop a strategic AI roadmap.
Best for: Business professionals looking for hands-on AI applications
Business professionals looking for hands-on AI applications Institution/Developer: Udacity
Udacity What you’ll learn: Understand the importance of data in ML processes, focusing on data labeling and infrastructure management; develop skills to identify AI opportunities and gather stakeholder feedback; gain a deep yet approachable understanding of how AI and ML systems operate.
Understand the importance of data in ML processes, focusing on data labeling and infrastructure management; develop skills to identify AI opportunities and gather stakeholder feedback; gain a deep yet approachable understanding of how AI and ML systems operate. Outcomes: Ability to formulate and evaluate proposals for embedding AI and ML, understanding of the ethical implications and responsibilities associated with AI adoption, experience in developing a strategic AI roadmap through real-world case studies and projects
Ability to formulate and evaluate proposals for embedding AI and ML, understanding of the ethical implications and responsibilities associated with AI adoption, experience in developing a strategic AI roadmap through real-world case studies and projects Plans/Pricing: The AI for Business Leaders course costs $249/month for a monthly subscription, $212/month for a 4-month bundle ($846 total), or $949 as a one-time payment.
4. Leading AI and Digital Transformation — INSEAD
As AI and digital transformation become central to business success, this in-person course helps executives navigate organizational change, leverage predictive analytics, and build AI-driven strategies for long-term growth.
Best for: Executives driving digital and AI transformation
Executives driving digital and AI transformation Institution/Developer: INSEAD
INSEAD What you’ll learn: Explore effective organizational structures, roles, and cultures that support digital readiness and transformation; understand how disruptions occur and how to leverage digital strategies, including platforms, ecosystems, and more; gain insights into leveraging AI, including predictive analytics and generative AI, within your digital strategies
Explore effective organizational structures, roles, and cultures that support digital readiness and transformation; understand how disruptions occur and how to leverage digital strategies, including platforms, ecosystems, and more; gain insights into leveraging AI, including predictive analytics and generative AI, within your digital strategies Outcomes: Analyze and implement organizational and team capabilities necessary to support a digitally-ready business; acquire digital innovation skills to generate insights and convert them into new business ventures; formulate personal, actionable plans to address strategic, organizational, and innovation-based opportunities
Analyze and implement organizational and team capabilities necessary to support a digitally-ready business; acquire digital innovation skills to generate insights and convert them into new business ventures; formulate personal, actionable plans to address strategic, organizational, and innovation-based opportunities Plans/Pricing: €11,200 for a 5-day program; this fee covers tuition, course materials, lunches on working days, and the opening and closing dinners. It does not include travel, accommodation, or other personal expenses
5. Artificial Intelligence: Business Strategies and Applications — Berkeley Executive Education
This course offers a deep dive into AI’s transformative potential, helping business executives and strategists manage AI projects, foster innovation, and develop AI-driven business models for competitive advantage.
Best for: Business executives and strategy professionals
Business executives and strategy professionals Institution/Developer: University of California, Berkeley
University of California, Berkeley What you’ll learn: Gain insights into AI’s current and future potential, including generative AI models and simulations for predictive analytics; develop a foundational understanding of AI technologies to communicate effectively with technical teams and stakeholders; learn how to organize and manage successful AI application projects within your organization
Gain insights into AI’s current and future potential, including generative AI models and simulations for predictive analytics; develop a foundational understanding of AI technologies to communicate effectively with technical teams and stakeholders; learn how to organize and manage successful AI application projects within your organization Outcomes: Develop a personalized strategic perspective on how AI can transform your industry; analyze and implement organizational and team capabilities necessary to support AI-driven business models; acquire AI innovation skills to generate insights and convert them into new business ventures
Develop a personalized strategic perspective on how AI can transform your industry; analyze and implement organizational and team capabilities necessary to support AI-driven business models; acquire AI innovation skills to generate insights and convert them into new business ventures Plans/Pricing: Specific pricing details are not provided in the available information
6. The Business of AI: Strategies for Leaders — London Business School
This course, ideal for senior executives, explores AI’s strategic impact across industries. It enables leaders to make informed decisions, leverage AI-driven insights, and drive innovation within their organizations.
Best for: C-suite executives, senior leaders, mid-to-senior-level functional managers, and product and technology managers
C-suite executives, senior leaders, mid-to-senior-level functional managers, and product and technology managers Institution/Developer: London Business School
London Business School What you’ll learn: Understand the potential and limitations of AI and machine learning (ML) in business contexts; explore real-life examples of AI’s global impact across different industries; discover the strategic impact of generative AI and other emerging technologies
Understand the potential and limitations of AI and machine learning (ML) in business contexts; explore real-life examples of AI’s global impact across different industries; discover the strategic impact of generative AI and other emerging technologies Outcomes: Gain a solid foundation in AI and ML, allowing you to make informed decisions for your business; develop AI strategies to create value and drive innovation within your organization; ensure your business stays competitive by leveraging AI for long-term strategic growth
Gain a solid foundation in AI and ML, allowing you to make informed decisions for your business; develop AI strategies to create value and drive innovation within your organization; ensure your business stays competitive by leveraging AI for long-term strategic growth Plans/Pricing: The fee for the program is £2,195
7. Artificial Intelligence in Healthcare — Stanford Online
With AI revolutionizing healthcare, this course provides professionals with the tools to evaluate AI applications, improve clinical decision-making, and ensure ethical implementation in real-world medical settings.
Best for: Healthcare professionals, data scientists, and computer science professionals
Healthcare professionals, data scientists, and computer science professionals Institution/Developer: Stanford University with Coursera
Stanford University with Coursera What you’ll learn: Learn the fundamentals of clinical data and its role in AI applications; apply AI technologies to improve healthcare innovation and decision-making; evaluate AI applications in healthcare, ensuring their ethical and safe implementation
Learn the fundamentals of clinical data and its role in AI applications; apply AI technologies to improve healthcare innovation and decision-making; evaluate AI applications in healthcare, ensuring their ethical and safe implementation Outcomes: Develop the ability to collaborate effectively between the fields of healthcare and computer science; gain a deep understanding of AI’s role in transforming healthcare and clinical decision-making; acquire hands-on experience in evaluating AI applications in real-world healthcare settings
Develop the ability to collaborate effectively between the fields of healthcare and computer science; gain a deep understanding of AI’s role in transforming healthcare and clinical decision-making; acquire hands-on experience in evaluating AI applications in real-world healthcare settings Plans/Pricing: A monthly subscription is $79
8. AI for Supply Chain Management — Kellogg School of Management
With this course, supply chain leaders can gain insights into AI-driven strategies to optimize efficiency, align supply and demand, and mitigate risks, ultimately enhancing profitability and operational resilience.
Best for: Supply chain leaders and logistics professionals
Supply chain leaders and logistics professionals Institution/Developer: Northwestern University (Kellogg School of Management)
Northwestern University (Kellogg School of Management) What you’ll learn: Develop strategies to design supply chains that enhance profitability; use product design, strategic sourcing, and contracts to align supply and demand efficiently; identify supply chain risks and formulate mitigation strategies
Develop strategies to design supply chains that enhance profitability; use product design, strategic sourcing, and contracts to align supply and demand efficiently; identify supply chain risks and formulate mitigation strategies Outcomes: Design and implement supply chains that contribute to improved profitability; foster better coordination and collaboration within the supply chain; achieve efficient matching of supply and demand through strategic approaches
Design and implement supply chains that contribute to improved profitability; foster better coordination and collaboration within the supply chain; achieve efficient matching of supply and demand through strategic approaches Plans/Pricing: The program offers two sessions: In-person session from April 29-May 2, 2025, at Wieboldt Hall on the Chicago Campus; the fee is $7,650, which includes lodging and most meals Live Virtual Session: October 20-24, 2025; the fee is $5,850
The program offers two sessions:
9. Generative AI for Business Leaders — LinkedIn Learning
This LinkedIn Learning course empowers business leaders to harness generative AI for innovation and competitive advantage while addressing ethical considerations and potential risks associated with AI adoption.
Best for: Business leaders and executives
Business leaders and executives Institution/Developer: LinkedIn Learning
LinkedIn Learning What you’ll learn: Gain insights into the principles and functionalities of generative AI technologies; learn how to effectively incorporate generative AI into business operations to foster innovation and competitive advantage; understand the ethical implications and responsibilities associated with deploying AI solutions
Gain insights into the principles and functionalities of generative AI technologies; learn how to effectively incorporate generative AI into business operations to foster innovation and competitive advantage; understand the ethical implications and responsibilities associated with deploying AI solutions Outcomes: Develop the ability to make informed decisions regarding AI investments and implementations; leverage generative AI to create innovative products and services, thereby gaining a competitive edge in the market; identify and address potential risks associated with AI deployment, ensuring ethical and responsible use of technology
Develop the ability to make informed decisions regarding AI investments and implementations; leverage generative AI to create innovative products and services, thereby gaining a competitive edge in the market; identify and address potential risks associated with AI deployment, ensuring ethical and responsible use of technology Plans/Pricing: Free
10. AI Governance: Technology, Ethics and Institutions — University of Oxford
AI governance is crucial for responsible AI deployment. This course explores ethical frameworks, regulatory challenges, and institutional approaches to AI governance, providing professionals with a comprehensive understanding of AI’s societal impact.
Best for: Professionals, policymakers, academics, and students
Professionals, policymakers, academics, and students Institution/Developer: University of Oxford
University of Oxford What you’ll learn: The historical evolution of AI, including key technological advancements; the political, economic, security, and diplomatic dimensions of AI governance; ethical considerations related to AI implementation
The historical evolution of AI, including key technological advancements; the political, economic, security, and diplomatic dimensions of AI governance; ethical considerations related to AI implementation Outcomes: Gain a comprehensive understanding of AI governance and its challenges; analyze and evaluate the effectiveness of governance models in regulating AI; understand the role of AI ethics in global decision-making
Gain a comprehensive understanding of AI governance and its challenges; analyze and evaluate the effectiveness of governance models in regulating AI; understand the role of AI ethics in global decision-making Plans/Pricing: In-person attendance: £120 (includes tea/coffee) Virtual attendance: £110 Optional lunch: Baguette Lunch: £7.30 Hot Lunch: £19.25 Funding: UK state benefit recipients and full-time students may be eligible for a 50 percent tuition fee reduction.
Future-proof your leadership with AI education
AI is not just a technological trend — it’s a fundamental shift in how you operate and compete. Leaders who invest in AI education benefit from data-driven decision-making, enhanced efficiency, and innovation leadership.
Staying informed will be key to remaining competitive as AI continues to evolve. Whether through a short course or an in-depth executive program, understanding AI’s business applications is an investment in your future leadership success. So, are you ready to learn?
Photo by Jack Sparrow
| 2022-12-01T00:00:00 |
https://www.jotform.com/ai/ai-courses-for-business-leaders/
|
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"date": "2024/05/01",
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"date": "2024/09/01",
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"date": "2024/09/01",
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|
Next generation AI business leaders | AI Sweden
|
Next generation AI business leaders
|
https://www.ai.se
|
[] |
We are now looking for exceptional and ambitious students to join our new Next Generation AI Business Leader program, for business students wanting to learn ...
|
What?
This is a unique 7-month program running part-time from February-July 2024 where you would be working half-time, in parallel with studies, directly with the Leadership team of AI Sweden on our most strategic activities.
Gain experience of real-world AI challenges across diverse fields
Get the AI knowledge needed to be able to identify business opportunities and drive AI adoption in organizations
Tap into AI Sweden's global network of partners and collaborators
Unlock exciting career opportunities through an unparalleled extracurricular experience
A total of 3-6 candidates will be selected for the program
The salary will be preset and equal for all participants
When?
Starts in February 2024 and will span over 7 months until July 2024.
Our idea is that the employment will be 30-50% Feb-May and 100% June-July (we will adapt this on an individual basis).
Where?
We recruit to AI Sweden's offices in Stockholm and Gothenburg, and you will be expected to be present at the office regularly and able to travel approximately once a month.
Selected candidates from other cities and countries are welcome and we will agree to contribute to travel and accommodation expenses individually.
Who we're looking for
We seek top talents who are ready to work part-time next to their master's studies, preferably at one of the prominent business schools in Sweden.
We expect the participants to be ambitious, committed to making a difference, and present extraordinary grades, communication, and social skills, rather than any technical knowledge and experience.
The program is open to international and national candidates.
| 2022-12-01T00:00:00 |
https://www.ai.se/en/adoption/talent-programs/next-generation-ai-business-leaders
|
[
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"date": "2022/12/01",
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"position": 11,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 68,
"query": "AI business leaders"
}
] |
|
AI for Business Leaders | Executive AI Training Program
|
Executive AI Training Program
|
https://aifirstmindset.ai
|
[] |
Our AI for business leaders program goes beyond the basics, teaching you how AI enhances decision-making, automates tasks, and unlocks new opportunities for ...
|
With our AI for business leaders executive program, you will leave confident
in all aspects of AI for business.
Grasp AI's Impact On Modern Business AI is reshaping the future of business. Our AI for Business Leaders program goes beyond the basics, teaching you how AI enhances decision-making, automates tasks, and unlocks new opportunities for success.
Identify And Prioritize AI Use Cases Identify where AI can deliver the greatest impact for your business. Dig beneath the hype and learn to evaluate AI projects with confidence, ensuring the right starting points for your company's transformation.
Learn Real-World AI Applications For Productivity What good is theory you can’t put to work? In this business leadership program, you learn the practical implementations of AI. Put it to work to improve customer service, streamline operations, and boost team productivity.
Master Tactics For Successful AI And ML Execution Learn the steps you need to build successful AI projects. Pick the right team, set clear goals, and measure those results. With our AI for business leaders executive program, you’ll leave with the frameworks to ensure smooth, simple implementation.
Navigate Change Management In AI Adoption Successfully guide your team through AI changes. Learn to communicate AI benefits, address concerns and train staff effectively. All as you develop strategies to build trust and enthusiasm for new AI tools.
| 2022-12-01T00:00:00 |
https://aifirstmindset.ai/services/ai-for-business-leaders/
|
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{
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|
How to Identify the Best AI Leader for Your Organization
|
How to Identify the Best AI Leader for Your Organization
|
https://www.egonzehnder.com
|
[] |
Why they matter: Transformers are execution-oriented leaders who manage cross-functional teams to deliver AI-driven business results. They possess the influence ...
|
With AI leadership roles on the rise, we are increasingly supporting our clients through this process of determining what type of AI leader they need. Below, we break down the three main archetypes of AI leaders to help identify which aligns best with an organization’s needs.
Discovering what kind of AI leader is needed begins with clarifying the organization’s AI strategy and maturity. If a company is primarily focused on leveraging off-the-shelf AI solutions, their existing data or technology team might be sufficient. However, if they are developing proprietary models or seeking to drive a comprehensive AI transformation, a dedicated AI leader will likely be essential.
As artificial intelligence continues to reshape industries, most executive leadership teams are grappling with the burning question of how best to integrate AI across their organization. This is a weighty consideration complicated by all kinds of variables involving organizational strategy, structure, digital maturity, timing and overall resources. What many companies are finding is a growing need for a specified AI leader explicitly suited to their own evolving AI journey.
1. AI Industry Shapers
These are visionary leaders who focus on the broader impact and future implications of AI. They are typically thought leaders, often seen as trailblazers in the space, pushing organizations to explore AI’s potential beyond immediate applications. Industry Shapers are ideal for organizations aiming to stay ahead in AI innovation, where strategic foresight and influence are crucial.
Why they matter: Industry Shapers challenge conventional thinking and help executive teams navigate AI’s future. They are often instrumental in building partnerships and advocating for responsible AI practices. They can bring value in board or advisory roles, contributing to discussions on AI’s long-term impact.
Industry Shapers challenge conventional thinking and help executive teams navigate AI’s future. They are often instrumental in building partnerships and advocating for responsible AI practices. They can bring value in board or advisory roles, contributing to discussions on AI’s long-term impact. Attractions and considerations: Shapers are drawn to organizations focused on innovation and societal impact rather than just commercial gains. However, they may not align well with companies primarily motivated by short-term financial performance, as they prioritize pioneering and advocacy over operational realities.
2. AI Builders
These leaders are deeply technical, often with backgrounds in technology research and development, and they are passionate about creating cutting-edge AI solutions. Builders are therefore the right fit for companies developing proprietary AI models and products, requiring technical expertise to innovate at scale.
Why they matter: Builders are the architects behind disruptive AI products. Having them on board can establish your organization as an innovation hub, attracting similar technical talent and enhancing R&D capabilities.
Builders are the architects behind disruptive AI products. Having them on board can establish your organization as an innovation hub, attracting similar technical talent and enhancing R&D capabilities. Attractions and considerations: AI Builders are typically motivated by the freedom to innovate and work with advanced technology. However, they may struggle with organizational politics and often are best suited for environments that value experimentation over immediate KPIs.
3. AI Transformers
Transformers can have two tracks, the Tech Drivers—well-rounded business leaders who are still technologists at heart; and the Business Drivers—well-rounded, tech-savvy business leaders who are analytical. They are both committed to driving the value that AI can create for their business. Which type of AI transformer is chosen can largely depend upon the best overall cultural fit as well as the one that best complements and enhances the strategic direction and expertise of the board and ExCo.
Transformers bridge the gap between technical AI knowledge and business execution. These leaders excel at translating AI capabilities into real-world applications that augment business value. Companies seeking to operationalize AI across departments, and those with established data infrastructures, benefit most from this archetype.
Why they matter: Transformers are execution-oriented leaders who manage cross-functional teams to deliver AI-driven business results. They possess the influence and communication skills to align AI initiatives with corporate goals, making them pivotal in ensuring ROI on AI investments.
Transformers are execution-oriented leaders who manage cross-functional teams to deliver AI-driven business results. They possess the influence and communication skills to align AI initiatives with corporate goals, making them pivotal in ensuring ROI on AI investments. Attractions and considerations: Transformers are attracted to roles where they can oversee the integration of AI into core business functions, this often requires a breadth of leadership influence across teams and resources in order to drive initiatives. Given the cross-functional nature of their work, they may seek roles with direct reporting lines to the CEO for greater impact and influence.
Matching the Right Archetype with Your Company’s Maturity Level
A company’s readiness for AI is often assessed through its data maturity level, which determines the type of AI leader that would be most effective. Here’s a high-level approach to identifying where your organization stands:
Focus on the data pipeline: Companies at the foundational stage are often implementing data governance practices and setting up basic data infrastructure. Here, a Transformer may be ideal to help build data capabilities that can support AI down the line.
Companies at the foundational stage are often implementing data governance practices and setting up basic data infrastructure. Here, a Transformer may be ideal to help build data capabilities that can support AI down the line. Small-scale experimentation: Organizations experimenting with descriptive and diagnostic analytics can benefit from an AI Builder who can be tech-savvy, innovative and mentor PhDs and can help expand these projects and apply predictive models to create tangible value.
Organizations experimenting with descriptive and diagnostic analytics can benefit from an AI Builder who can be tech-savvy, innovative and mentor PhDs and can help expand these projects and apply predictive models to create tangible value. Scale-up and narrow-AI experimentation: For companies in the process of scaling up their use cases across the enterprise, this would most likely always require a Transformer who can provide the right mix of technical knowledge and execution capability.
For companies in the process of scaling up their use cases across the enterprise, this would most likely always require a Transformer who can provide the right mix of technical knowledge and execution capability. AI at scale: With more mature AI programs—often digital natives or tech innovators—will likely need a Transformer to sustain their leadership in the AI space and keep exploring cutting-edge advancements.
Should You Hire Internally or Externally?
Once you’ve identified the best archetype for your organization, the next decision is whether you can find the right leaders internally or have the need to hire someone externally. Both paths present distinct benefits and considerations:
Internal candidates: If an existing leader in your organization shows promise, they may be the most effective leader since they are deeply familiar with the existing culture and the extent of (or limits to) the internal knowledge necessary to champion AI initiatives effectively. However, the lack of prior explicit AI experience can certainly be a risk to be measured as it could slow the adoption process or lead to missing opportunities for innovation. The other question to ask will be if the organization structure is giving the opportunity for the leader to flourish with the AI program, or do you need to make changes to empower the internal leader by changing the organization or appointing a sponsor.
If an existing leader in your organization shows promise, they may be the most effective leader since they are deeply familiar with the existing culture and the extent of (or limits to) the internal knowledge necessary to champion AI initiatives effectively. However, the lack of prior explicit AI experience can certainly be a risk to be measured as it could slow the adoption process or lead to missing opportunities for innovation. The other question to ask will be if the organization structure is giving the opportunity for the leader to flourish with the AI program, or do you need to make changes to empower the internal leader by changing the organization or appointing a sponsor. External candidates: External hires, especially those with extensive experience in AI leadership, bring proven expertise and a fresh perspective. They are often best positioned to accelerate AI adoption and bring in new competencies. At the same time, external candidates may need time to adapt to your company’s culture and may command high compensation due to market demand.
How We Can Help You Evaluate AI Leadership Potential
At Egon Zehnder, our assessment process looks at several key factors to gauge a candidate’s fit and readiness for AI leadership, including:
Technical proficiency and business acumen: We evaluate a candidate’s depth in AI and data science, ensuring they can manage or mentor technical teams effectively. But not only that—they should also demonstrate the business acumen for selecting and scaling the right use cases. Communication skills: AI leaders must be able to communicate complex technical concepts to non-technical stakeholders, making this a critical capability that often distinguishes candidates. Strategic vision: An effective AI leader should have the vision to align AI initiatives with business objectives to create measurable value. Leadership and influence: We assess candidates for their ability to inspire and lead across functions, especially in overcoming the fears and internal resistance often associated with AI adoption. Adaptability and resilience: AI is an evolving, quickly changing field, so its leaders must be flexible, resilient change agents capable of smoothly adapting and leading others to do the same in this climate.
By identifying these attributes, we can help your organization determine whether an internal candidate has the potential to succeed, or if an external hire would provide a faster path to success.
The Talent Market for AI Leaders
Demand for AI and machine learning talent has surged, resulting in a competitive market where qualified leaders can be selective about roles and command above-market compensation. It is commonly misperceived that the best AI talent is concentrated in digital native and tech companies, but these individuals often lack experience with industry-specific compliance, legacy systems, or traditional corporate structures. The best AI leaders can often be found where their technological knowledge intersects with industry knowledge—people who can develop and scale the right use cases that are unique to this specific industry.
There is a growing pool of business-savvy, tech-driven leaders emerging in sectors like consulting, financial services, industrials and retail, equipped with the storytelling, influence, and operational skills to drive AI transformations effectively. These leaders are increasingly drawn to opportunities where they can make a long-term impact, especially on a global scale.
Identifying the right AI leader requires a strategic approach that considers your organization’s current data maturity, business goals, and cultural alignment. Whether hiring internally or externally, AI leadership is a pivotal investment that will shape your organization’s ability to harness AI’s potential in the years ahead. We are here to support you in making this transformative choice.
| 2022-12-01T00:00:00 |
https://www.egonzehnder.com/functions/technology-officers/insights/how-to-identify-the-best-ai-leader-for-your-organization
|
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|
The AI Business Leadership Podcast | SolvedBy.Ai
|
The AI Business Leadership Podcast
|
https://solvedby.ai
|
[] |
The AI Business Leadership Podcast is the go-to destination for insightful conversations with industry leaders at the forefront of AI innovation.
|
The AI Business Leadership Podcast is the go-to destination for insightful conversations with industry leaders at the forefront of AI innovation. Join us as we explore the intersection of artificial intelligence and business leadership, delving into the strategies, challenges, and successes shaping the future of industries worldwide.
Our mission is to empower and inspire both established and emerging leaders navigating the rapidly evolving landscape of AI technology. Through in-depth interviews and expert insights, we uncover actionable strategies and best practices to drive growth, foster innovation, and stay ahead in today’s competitive business environment.
Whether you’re leading groundbreaking AI initiatives, driving organisational transformation, or pioneering new business models, we invite you to join the conversation on the AI Business Leadership Podcast!
| 2022-12-01T00:00:00 |
https://solvedby.ai/the-ai-business-leadership-podcast/
|
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{
"date": "2024/10/01",
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{
"date": "2024/11/01",
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"position": 66,
"query": "AI business leaders"
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{
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"position": 30,
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|
Online AI Course | HBS Online
|
Online AI Course
|
https://online.hbs.edu
|
[] |
Credential of Leadership, Impact, and Management in Business (CLIMB). CLIMB enables new and experienced leaders to ignite their careers with a combination of ...
|
Certificate Programs
HBS Online welcomes committed learners wherever they are—in the world and their careers—irrespective of their professional experience or academic background. To extend the reach of HBS Online, we no longer require an application for our certificate programs. (Applications are still required for our credential programs: CORe and CLIMB.) You can now immediately enroll and start taking the next step in your career.
All programs require the completion of a brief online enrollment form before payment. If you are new to HBS Online, you will be required to set up an account before enrolling in the program of your choice.
Our easy online enrollment form is free, and no special documentation is required. All participants must be at least 18 years of age, proficient in English, and committed to learning and engaging with fellow participants throughout the program.
Updates to your enrollment status will be shown on your account page. HBS Online does not use race, gender, ethnicity, or any protected class as criteria for enrollment for any HBS Online program.
Credential Programs
HBS Online's CORe and CLIMB programs require the completion of a brief application. The applications vary slightly, but all ask for some personal background information. You can apply for and enroll in programs here. If you are new to HBS Online, you will be required to set up an account before starting an application for the program of your choice.
Our easy online application is free, and no special documentation is required. All participants must be at least 18 years of age, proficient in English, and committed to learning and engaging with fellow participants throughout the program.
Updates to your application and enrollment status will be shown on your account page. We confirm enrollment eligibility within one week of your application for CORe and three weeks for CLIMB. HBS Online does not use race, gender, ethnicity, or any protected class as criteria for admissions for any HBS Online program.
| 2022-12-01T00:00:00 |
https://online.hbs.edu/courses/ai-essentials-for-business/
|
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{
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{
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{
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{
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|
AI Strategies for Leaders by Kellogg | Artificial Intelligence Course
|
AI Strategies for Leaders by Kellogg
|
https://online.em.kellogg.northwestern.edu
|
[] |
AI To Boost Business Growth · The right AI choices will enable companies to have a significant edge. To realize its full potential, we need to take advantage of ...
|
Emeritus is collaborating with Kellogg Executive Education to help you build future-ready skills. Enroll before Invalid liquid data and get 5% tuition assistance to set yourself up for professional success.
Use Code UNLOCKBC05LP3398 during payment to avail tuition assistance.
| 2022-12-01T00:00:00 |
https://online.em.kellogg.northwestern.edu/kellogg-ai-strategies-and-applications-for-leaders
|
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{
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{
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"query": "AI business leaders"
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{
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"query": "artificial intelligence business leaders"
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{
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"position": 67,
"query": "AI business leaders"
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{
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"position": 61,
"query": "artificial intelligence business leaders"
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{
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{
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{
"date": "2024/07/01",
"position": 67,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 63,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 64,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 75,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 64,
"query": "artificial intelligence business leaders"
},
{
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"position": 72,
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},
{
"date": "2024/11/01",
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},
{
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"position": 67,
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},
{
"date": "2025/01/01",
"position": 64,
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},
{
"date": "2025/02/01",
"position": 72,
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},
{
"date": "2025/02/01",
"position": 71,
"query": "artificial intelligence business leaders"
},
{
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"position": 71,
"query": "AI business leaders"
},
{
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"position": 69,
"query": "artificial intelligence business leaders"
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|
IBM: GenAI for Executives & Business Leaders: An Introduction | edX
|
IBM: GenAI for Executives & Business Leaders: An Introduction
|
https://www.edx.org
|
[] |
The Generative AI for Executives and Business Leaders, presented by IBM AI Academy, explores topics and assets that span three core learning areas: ...
|
Level up your career — Get 15% off select programs until July 30. Use the code LEVELUPEDX25. Learn more.
Close site banner.
| 2022-12-01T00:00:00 |
https://www.edx.org/learn/business-management/ibm-generative-ai-for-executives-and-business-leaders
|
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{
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{
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"position": 93,
"query": "artificial intelligence business leaders"
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] |
|
Artificial Intelligence for Business Leaders: Creating Your AI Strategy
|
Artificial Intelligence for Business Leaders: Creating Your AI Strategy
|
https://johnclements.com
|
[] |
Artificial Intelligence (AI) is a leadership challenge. Business leaders need to drive AI strategy. It takes a village to implement AI. AI will transform.
|
Artificial Intelligence (AI) is a leadership challenge.
Business leaders need to drive AI strategy.
It takes a village to implement AI.
AI will transform how work gets done and who does it.
Generative AI to displace, not replace. As robots threatens more jobs, human skills will save us.
The above-mentioned statements are just some of the learning nuggets captured from one of the insightful sessions of Artificial Intelligence for Business Leaders: Driving Growth, Innovation, and Efficiency. The whole day event was organized by John Clements Consultants, Inc., GMA Network, Inc. and the Northwestern University/Kellogg School of Management Alumni Association of the Philippines with speaker Dr. Mohanbir Sawhney, McCormick Tribune Professor of Technology, Kellogg School of Management, and was held last July 17, 2023 at Dusit Thani Hotel Manila, Makati City.
Dr. Sawhney mentioned that AI is a leadership challenge, and it takes a village to implement AI. An AI-ready organization needs to have a clear AI strategy as it changes the nature of work, the skills needed to perform the work, and the roles needed.
As executives structure the AI initiatives, key questions on the following needs to be addressed: business problems, data, technology, and organizations. Details of which can be found in the photo below:
Another important highlight of session 2 was the Generative AI Canvas. It is the blueprint for AI business cases. Dr. Sawhney walked through the following:
Business & Customer Problem
Data & Model Management
Test & Scale
Jobs to be Done
Prompt Design & Engineering
Change Management
Business & Customer Value
Rapid Solutioning & Prototyping
Risk Mitigation
I am grateful to John Clements for the opportunity to attend this learning session. I believe John Clements achieved the objective to equip business leaders with the knowledge and insights to harness the power of Artificial Intelligence to create business value. The case studies presented were very helpful for the participants to appreciate how AI is being applied, on top of the range of topics that were covered:
Session 1: Introduction to AI and Generative AI
Session 2: Creating Your AI Strategy
Session 3: AI in Marketing, Sales, and Customer Service
Session 4: The Future of AI
AI is not computer vs. human, but computer plus human. We know it is an exciting, yet exhausting journey with AI, and it is hard to predict what AI will be in the future as it continuously evolves. Let’s just all be part of the journey with an open mind and welcome AI in our daily lives.
| 2022-12-01T00:00:00 |
https://johnclements.com/the-looking-glass/artificial-intelligence/artificial-intelligence-for-business-leaders-creating-your-ai-strategy/
|
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{
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"position": 70,
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},
{
"date": "2025/01/01",
"position": 69,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 68,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 84,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 73,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 81,
"query": "AI business leaders"
},
{
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"position": 76,
"query": "artificial intelligence business leaders"
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] |
|
Top 15 AI Tools for Leaders to Boost Productivity and Performance
|
Top 15 AI Tools for Leaders to Boost Productivity and Performance
|
https://www.prezent.ai
|
[] |
Attract.ai stands out as a powerful solution that transforms how companies discover and hire top talent. Its AI-driven capabilities make recruitment more ...
|
Businesses of all sizes move at a fast pace—requiring many capable people to maneuver difficult tasks. Often, troubleshooting can cut into valuable time we could be using in other places. Artificial intelligence has now come to fruition—because time means everything.
Artificial intelligence (AI) is rapidly improving the way we work; getting us more up to date with certain parts of our busy schedule so we can more effectively tackle other high-priority delegations . From automating repetitive tasks to providing insights into data, AI can help leaders save time, improve decision-making, and boost productivity.
Here are the top 15 AI tools that every leader should consider using:
1. Prezent: AI presentation tool for enterprise teams
Prezent is an AI-powered presentation software that can help you create stunning presentations in minutes. Prezent uses AI to automatically generate slides, format text, and add images and videos.
Creating presentations that people can understand is very important. Making these presentations compelling and captivating to your audience is even more important. Prezent achieves both of these things while giving leaders who want to create professional-looking presentations quickly and easily.
Without design expertise, you may find it hard to create a presentation on your own that aligns with your brand's colors and mission. However, Prezent It is easy to use, even for people who are not tech-savvy. Make use of Prezent today, and save time by automating the process of creating presentations.
Here are some of the features of Prezent that make it a valuable tool for leaders:
AI-powered presentation generation : The AI based algorithm uses automation to generate slides, format text, and add images and videos.
: The AI based algorithm uses automation to generate slides, format text, and add images and videos. Time saving: This can save you a lot of time and effort, especially if you are not a graphic designer or have prior knowledge using PowerPoint.
This can save you a lot of time and effort, especially if you are not a graphic designer or have prior knowledge using PowerPoint. Customization : You aren’t limited to a set of styles and designs when using Prezent. It scans its array of designs and offers a variety of customization options, so you can create presentations that match your brand and style. From the colors to fonts to layouts of your slides, you can fully edit all elements.
: You aren’t limited to a set of styles and designs when using Prezent. It scans its array of designs and offers a variety of customization options, so you can create presentations that match your brand and style. From the colors to fonts to layouts of your slides, you can fully edit all elements. Collaboration: Prezent makes it easy to collaborate on presentations with your team. You can share your presentations with others and get feedback, and you can also work on presentations together in real time.
Sign up for a free trial and start using Prezent today for your presentations!
2. Grammarly
Grammarly is an AI-powered grammar checker that can help you improve your writing.
When compiling content for high-level executives or even the common consumer, we can get side tracked which in turn leads to mistakes within our writing. To avoid any such occurrences, simply submit any body of text into the system and see your inaccuracies within seconds! It scans your text for errors in grammar, spelling, punctuation, and style whilst also offering valuable suggestions for improvement. Improve your writing today and give Grammarly a shot! It’s available as a desktop app and Chrome extension. If you encounter issues, check for system updates. On rare occasions, Grammarly may not work with certain versions of macOS. If that's the case, follow these steps to downgrade your macOS.
3. Glassix
Glassix is an AI-powered customer support and messaging platform that helps businesses consolidate their customer communications into one smart inbox, and automate processes using generative AI-powered chatbots.
Using the latest GPT-4 engine and robust Conversational AI algorithms Glassix helps thousands of businesses to deliver an exceptional customer experience with its innovative omnichannel generative AI chatbot builder and AI-driven unified inbox.
Using Glassix, businesses can deploy omnichannel generative AI chatbots on social media platforms, WhatsApp, their website or app, Apple Messages for business, SMS, and more. For businesses looking to build custom AI-driven applications or automate workflows, exploring LangChain runnables could be a game-changer. LangChain provides flexible tools for running different types of computations in AI pipelines, enhancing the productivity of teams using GPT-4 engines like Glassix. And to compliment this, businesses can also unify their communication channels into one hub and skip the tab and app juggling using Glassix on desktop or on the go with their award-winning mobile app.
4. Attract.ai
Attract.ai is a game-changing AI tool revolutionizing talent acquisition.
Leveraging advanced machine learning, the applicant tracking system streamlines the recruitment process by automating candidate sourcing, skill matching, and personalized outreach. This not only boosts efficiency but also ensures that only the most qualified candidates are considered, leading to better hires and cost savings. Moreover, Attract.ai reduces bias in hiring decisions, fostering diversity and inclusivity. Its data-driven insights empower recruiters to fine-tune their strategies, making it an essential addition to any HR toolkit in 2023.
Attract.ai stands out as a powerful solution that transforms how companies discover and hire top talent. Its AI-driven capabilities make recruitment more efficient, data-centric, and inclusive, making it a top choice for organizations looking to stay ahead in the ever-evolving world of talent acquisition.
Here is a guide on recruitment presentation.
5. DataRobot
DataRobot is an AI-powered data science platform that can help you build and deploy machine learning models.
DataRobot automates many of the tasks involved in machine learning, such as data cleaning, feature engineering, and model selection. Many machine-learning professionals use DataRobot as a means to estimate the accuracy of error. With machine learning, precision, accuracy, and data optimization is critical, so if you’re looking to build and create models for your business processes that are fully functional without error, DataRobot is the service for you.
6. HireVue
HireVue is an advanced AI platform designed to revolutionize the hiring process by leveraging artificial intelligence and machine learning.
Its core strength lies in conducting video interviews, where candidates respond to predefined questions, and their responses are evaluated by both AI algorithms and human recruiters.
This automated screening process not only saves considerable time and effort for HR teams but also ensures standardized evaluations, reducing the potential for biases that can creep into traditional interviews. Moreover, it offers cost-efficiency by enabling remote interviews, thus cutting down on travel expenses and speeding up hiring timelines. With predictive analytics and seamless integration with applicant tracking systems, HireVue is empowering organizations to make informed, data-driven hiring decisions while enhancing the overall candidate experience.
Here is a guide on interview presentation.
7. Textio
Textio is an AI tool that is designed to revolutionize the way we approach writing, Textio employs predictive analytics and natural language processing to help users create more effective and engaging content.
Whether you're crafting job listings, emails, or marketing copy, Textio analyzes your text in real-time, providing instant feedback on language, tone, and inclusivity, ultimately ensuring your message resonates with your target audience. By harnessing the power of Textio, writers can optimize their content for maximum impact, making it an indispensable addition to any writer or marketer's toolkit.
But Textio isn't just about improving the quality of your writing; it's also a tool for promoting diversity and inclusivity in your communications. Its AI algorithms assist in identifying biased language and suggest alternatives, helping organizations create content for a website that's both more welcoming and compliant with diversity and inclusion goals. In today's world, where effective and inclusive communication is paramount, Textio stands as a powerful ally, making it a must-have tool for those seeking to craft compelling and equitable content.
8. Otter.ai
Otter.ai serves as a cutting-edge transcription assistant powered by artificial intelligence.
Whether you're in a team meeting, conducting an interview, or attending a lecture, this tool effortlessly captures spoken words and transforms them into text. With features like highlighted passages, annotation capabilities, and easy sharing options, Otter.ai is more than just a transcription tool – it's a collaborative note-taking companion. Getting started is a breeze. Just sign up, hit the record button, and let Otter.ai work its magic. Within moments, you'll be presented with a text version of your audio, complete with handy features like speaker tags, timestamped sections, and a keyword search function, making navigation and referencing a cinch.
For professionals, leaders, and teams, Otter.ai is an indispensable ally. Streamlining the often tedious process of transcribing, the tool not only saves time but also boosts efficiency, ensuring that the critical details of any conversation aren't lost. Whether for internal use or external communication, Otter.ai stands out as a game-changer in the world of automated transcription and note-taking.
9. Gong
Gong stands as a transformative AI-driven revenue intelligence platform tailored for sales teams.
By recording and analyzing customer interactions, including calls, emails, and video meetings, it arms sales reps with actionable insights to refine their strategies. This meticulous recording and transcription enable reps to revisit conversations, pinpointing areas that need attention. With its AI prowess, Gong unveils performance metrics, identifying top-performing sales tactics, common customer hurdles, and optimal closing strategies. Such intelligence empowers reps to anticipate objections, apply proven tactics, and effectively close deals, elevating their sales game.
For sales managers, Gong is a coaching powerhouse. It highlights areas needing enhancement, facilitates feedback delivery, and monitors progress. The result? Sales teams are better equipped, closing more deals and driving increased revenue, making Gong indispensable for sales operations of every scale.
10. Monday.com
Monday.com is a work management platform that can help you manage your team's workload.
Monday.com is a cloud-based tool that offers a variety of features, such as dashboards, automation, and reporting. Users have the ability to create Kanban boards to visualize work and track its progress. Moreover, as per Monday review, users can create Kanban boards to effectively visualize and track their work progress. The automations Monday.com provides can also help with setting reminders and notifications for yourself to stay on top of things.
You can also break down any tasks you have set onto the platform into sub-tasks so nothing appears as daunting as it presents itself. Gradually as you maneuver through tasks you have the ability to report your progress and measure how much you are achieving between certain frames of time.
11. Lattice
Lattice is an indispensable addition to any list, offering advanced capabilities in data analytics and machine learning.
With its user-friendly interface and powerful features, Lattice empowers businesses to unlock valuable insights from their data. Whether it's predictive modeling, clustering, or anomaly detection, Lattice's versatility makes it a go-to choice for data scientists and analysts alike. Its ability to handle structured and unstructured data, coupled with its robust visualization tools, enables users to make data-driven decisions with ease.
What sets Lattice apart is its emphasis on transparency and interpretability. It doesn't just provide results; it helps users understand how those results were derived. This makes it a valuable asset for organizations looking to harness the potential of AI while maintaining accountability and trust. Lattice's role in democratizing AI and making it accessible to a wider audience underscores its significance in the ever-evolving landscape of artificial intelligence tools.
12. Talla.ai
Talla.ai is offering a powerful solution for knowledge management and automation.
This AI-driven platform excels in helping organizations streamline their internal processes by providing a centralized hub for information retrieval and task automation. Talla.ai leverages natural language processing to understand and categorize data, making it effortless for teams to access relevant information swiftly. With its intuitive chatbot interface, it empowers users to ask questions and receive instant, context-aware responses, significantly boosting productivity and reducing the time spent on mundane tasks.
Talla.ai's ability to learn and adapt over time ensures that it becomes an increasingly valuable asset as it continues to refine its understanding of your organization's unique knowledge landscape. For businesses seeking to harness the power of AI for knowledge management and process optimization, Talla.ai is a must-have tool that promises to revolutionize the way teams collaborate and access information.
13. Leena.ai
Leena.ai is revolutionizing the way organizations manage their HR and employee support functions.
This innovative platform leverages artificial intelligence and natural language processing to streamline HR operations, making them more efficient and employee-centric. Leena.ai offers a user-friendly chatbot interface that allows employees to access HR information and support 24/7, reducing the burden on HR teams and ensuring quick, consistent responses to common queries. Moreover, its robust analytics capabilities provide valuable insights into employee engagement and satisfaction, enabling data-driven decision-making. With Leena.ai, businesses can enhance their HR processes, ultimately leading to a happier, more productive workforce.
Incorporating Leena.ai into your AI tool arsenal is a strategic move for any organization seeking to optimize HR operations and improve employee experiences. Its intuitive interface, AI-driven automation, and analytics capabilities make it a powerful asset in the quest for HR excellence, positioning it as a must-have tool in today's competitive business landscape.
14. Paradox.ai
Paradox.ai is a cutting-edge AI tool that has revolutionized the talent acquisition landscape.
Leveraging the power of artificial intelligence, Paradox.ai streamlines the hiring process by automating various time-consuming tasks. One of its standout features is Olivia, an AI-powered chatbot that engages with candidates, answers their questions, and even schedules interviews, all while providing a seamless and personalized candidate experience. This not only frees up valuable time for recruiters but also enhances the overall recruitment process, making it faster and more efficient.
Furthermore, Paradox.ai employs machine learning algorithms to analyze candidate data, helping recruiters make data-driven decisions and identify top talent with greater accuracy. Its ability to optimize job postings and reach a wider pool of candidates ensures that organizations can find the best fit for their roles. With Paradox.ai, businesses can not only save time and resources but also enhance their hiring outcomes, making it an indispensable tool in the arsenal of any modern HR department.
15. Talmundo
Talmundo is offering a comprehensive solution for employee onboarding and engagement.
Leveraging artificial intelligence, Talmundo streamlines the onboarding process by automating tasks such as paperwork, training schedules, and compliance checks. Its intelligent chatbot guides new hires through their journey, providing answers to common queries and ensuring a smooth transition into the organization. Moreover, Talmundo's analytics capabilities empower HR professionals with valuable insights, enabling them to optimize the onboarding process continuously. With its user-friendly interface and AI-driven features, Talmundo revolutionizes the way companies welcome and integrate their new team members, making it an essential tool for enhancing workforce productivity and satisfaction.
Whether you're a small startup or a large corporation, Talmundo's AI-powered platform offers a scalable solution tailored to your unique needs. By harnessing the power of artificial intelligence, it not only accelerates the onboarding process but also enhances the overall employee experience, leading to higher retention rates and improved organizational performance.
Bonus
16. Effy.ai
Effy.ai is a cutting-edge AI-powered customer support platform that is making waves in the world of business.
With its advanced natural language processing (NLP) and machine learning capabilities, Effy.ai offers a seamless and efficient way to engage with customers. Its ability to facilitate human-like conversations, provide multilingual support, and automate routine tasks sets it apart as a top AI tool.
Effy.ai is available 24/7, ensuring that customer support is always accessible, and it generates valuable data-driven insights to help businesses refine their strategies. Moreover, its scalability, cost-effectiveness, and commitment to staying at the forefront of AI technology make it a future-ready solution for businesses of all sizes. Effy.ai is revolutionizing customer support, making it an essential addition to your list of top AI tools.
All of the above mentioned tools can streamline your work rate and lead to an exponential increase in productivity.
As a leader it is important to ensure all your business processes are executed with accuracy and refined attention to detail. The faster each industry picks up, the more we must make use of the resources at our disposal.
Learn from AI today and become a better leader to not only improve your own efficiency but also boost your team’s performance.
| 2022-12-01T00:00:00 |
https://www.prezent.ai/blog/ai-tools-for-leaders
|
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{
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{
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},
{
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},
{
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},
{
"date": "2023/11/01",
"position": 72,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 58,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 58,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
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},
{
"date": "2024/01/01",
"position": 58,
"query": "artificial intelligence business leaders"
},
{
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"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/01",
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"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 72,
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},
{
"date": "2024/07/01",
"position": 60,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 55,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 61,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 79,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 61,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 76,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 61,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 72,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 58,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 61,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 80,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 54,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 79,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 56,
"query": "artificial intelligence business leaders"
}
] |
|
AI for Executives Program | Berkeley Exec Ed
|
AI for Executives Program
|
https://executive.berkeley.edu
|
[] |
Artificial Intelligence is quickly becoming vital to staying competitive and surviving in business. Its incredible pace of development demands that leaders ...
|
Artificial Intelligence is quickly becoming vital to staying competitive and surviving in business. Its incredible pace of development demands that leaders stay informed about technological advances; nearly half of professionals globally are concerned about keeping up with its advancements.
AI for Executives is an artificial intelligence training designed to help forward-thinking leaders like you leverage AI's transformative power and acquire the strategic frameworks your organization needs to thrive in a radically changing environment.
In this AI program, you will learn from distinguished Berkeley Haas faculty* and industry experts how to evaluate AI systems and their potential impacts, gain strategies for AI adoption, and drive innovation within your organization. Equipped with new skills, you will understand which AI strategies will lead to competitive gains in your industry.
*Please note: schedule and speakers are subject to change.
| 2022-12-01T00:00:00 |
https://executive.berkeley.edu/programs/ai-executives-program
|
[
{
"date": "2022/12/01",
"position": 78,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 80,
"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 90,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/04/01",
"position": 57,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 56,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 84,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/06/01",
"position": 73,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 85,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/08/01",
"position": 56,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 56,
"query": "AI business leaders"
},
{
"date": "2023/12/01",
"position": 88,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 56,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 99,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 83,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/03/27",
"position": 11,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 56,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 90,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 98,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 61,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 80,
"query": "AI business leaders"
},
{
"date": "2024/12/01",
"position": 56,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 68,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 90,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 92,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 96,
"query": "AI business leaders"
}
] |
|
AI Fundamentals for Business Leaders Book - Now Next Later AI
|
AI Fundamentals for Business Leaders Book
|
https://www.nownextlater.ai
|
[] |
The perfect guide to help non-technical business leaders understand the power of AI. Completely up to date with the latest advancements in generative AI.
|
Introducing "Artificial Intelligence Fundamentals for Business Leaders" - the perfect guide to help non-technical business leaders understand the power of AI. Completely up to date with the latest advancements in generative AI.
Part of the Byte-sized Learning series, these books break down complex concepts into easily digestible pieces, providing you with a solid foundation in the fundamentals of AI.
| 2022-12-01T00:00:00 |
https://www.nownextlater.ai/ai-fundamentals-for-business-leaders-book
|
[
{
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},
{
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},
{
"date": "2023/02/01",
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},
{
"date": "2023/04/01",
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"query": "AI business leaders"
},
{
"date": "2023/07/04",
"position": 7,
"query": "AI business leaders"
},
{
"date": "2023/07/04",
"position": 12,
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},
{
"date": "2023/12/01",
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"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 58,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 77,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 59,
"query": "artificial intelligence business leaders"
}
] |
|
AI for Business Leaders & Managers Post Graduate Program
|
AI for Business Leaders & Managers Post Graduate Program
|
https://www.mygreatlearning.com
|
[] |
The AI for Leaders program is an online course that empowers business leaders to leverage the power of AI and Generative AI in strategic decision making and ...
|
PG Program in AI for Leaders
Artificial intelligence has progressively expanded its influence over enterprises worldwide, resulting in a steady demand for AI professionals. While the emphasis has been on the opportunities for trained professionals, their efforts must still be oriented towards competitive business results. Modern organizations should take advantage of the skills and expertise of emerging AI professionals to maximize productivity and achieve market leadership.
The Post Graduate Program in Artificial Intelligence for Leaders, designed by UT Austin in collaboration with Great Learning, is a four-month comprehensive online program for business leaders to leverage data and AI to make informed strategic business decisions. The course is intended for non-technical corporate executives who desire to employ AI to improve their routine decision-making and eventually become business leaders. It is also for product managers, directors, category managers, CXOs, delivery managers, senior managers, and team leaders looking to further their careers are among the pertinent profiles. The course emphasizes a theoretical and case-based approach that helps to simulate operational instances where AI can be used to enhance corporate goals.
AI for Business Leaders Course Highlights
You can be convinced that you are learning from world-class academia with a proven track record of significant accomplishments, innovative research, and instructional practices. Industry experts lead the program with trained data analysts to guarantee that you succeed and are prepared for employment right after completion.
Learning Format
Learn from the best academia and take part in mentored learning sessions from industry experts.
Learn from Case Studies
Understand various industry-relevant case studies and develop a comprehensive understanding of the business context.
Industry-relevant Projects
Learn and develop industry-relevant AI projects with no prior coding expertise. Evaluate your learning by working on various capstone projects.
Understand Artificial Intelligence
Acquire industry-ready knowledge and work with modern applications of Artificial intelligence. . Be future-ready by helping organizations unleash the potential of emerging technologies like artificial intelligence in management and key business areas.
Certificate from renowned University
Earn a certificate from The University of Texas at Austin upon completing the AI for Leaders program.
Program Design
This 4-month program is delivered through 4 industry and 8 mentored online sessions, 1 capstone, and 5 curriculum pertinent projects to help you acquire industry-ready skills.
It includes 5 modules covering AI through data, Supervised Learning, Neural Networks and Ensemble Techniques, Unsupervised Learning, Deep Learning (CV and NLP), and projects to help you get hands-on experience working with AI for management tasks.
Get the UT Austin’s Advantage of Learning AI for Business Leaders
With 51,000+ students and 3000+ world-class faculty members, the McCombs School of Business at the University of Texas at Austin is an esteemed business school and a renowned public research university. The University of Texas at Austin is distinguished as a leader in social science, business, technology, and science worldwide. Through top-notch instruction, hands-on learning, and the pursuit of vital, ground-breaking research, it fosters the development of ideas and breakthrough revolution in AI for business leaders. You may be assured that you benefit from top academicians and researchers with proven track records, innovative research, and creative teaching techniques.
The University of Texas at Austin is graded sixth overall in business analytics in the QS World University Rankings 2021. U.S. News & World Report has undeviatingly ranked the University among the top 20 public universities in the country owing to its 40+ postgraduate programs and 15 undergraduate programs that rank among the top universities. The University also offers AIML PG Program to those seeking to pursue an established career in the domain. (Explore AI ML PG Program)
Who is this program for?
The program is ideal for professionals seeking to secure a variety of positions driving AI, including Product Manager, Business Head, Delivery Manager, Account Manager, Team Lead, Engineering Manager, Data Science Consultant, Marketing Manager, and R&D Manager. The AI for leaders course is intended to teach corporate executives to use AI in manufacturing, providing services, or assisting clients. The curriculum will employ case studies and practical examples to equip you with industry-ready applications and use-cases. It will address fundamental ideas in machine learning and artificial intelligence, allowing learners to gain an intuitive understanding without being overly focused on complex technical specifics.
This intensive program will help business leaders to:
| 2022-12-01T00:00:00 |
https://www.mygreatlearning.com/ai-for-leaders-course
|
[
{
"date": "2022/12/01",
"position": 83,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 81,
"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 59,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/04/01",
"position": 79,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 74,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 55,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/06/01",
"position": 78,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 59,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/08/01",
"position": 74,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 74,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 55,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 56,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 74,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 57,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 53,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/29",
"position": 8,
"query": "AI business leaders"
},
{
"date": "2024/05/01",
"position": 58,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 75,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 59,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 66,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 58,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 87,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 58,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 81,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 58,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/12/01",
"position": 75,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 57,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 60,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 82,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 56,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 80,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 54,
"query": "artificial intelligence business leaders"
}
] |
|
(Generative) AI for Business Leaders (or Government Leaders)
|
(Generative) AI for Business Leaders (or Government Leaders)
|
https://www.thedigitalacademy.tech.gov.sg
|
[] |
Discover essential insights with our generative AI programme, designed for business leaders like you. Harness transformative technology across various ...
|
Overview
Discover essential insights with our generative AI programme, designed for business leaders like you. Harness transformative technology across various applications, from sensing and content creation to marketing and product design. Understand AI's capabilities and limitations, uncover innovative industry uses, and drive business growth.
Key Takeaways
Grasp the fundamentals and capabilities of generative AI technologies
Strategically apply generative AI in digital transformation initiatives
Explore diverse business applications of generative AI including retrieval augmented generation
Develop innovation strategies leveraging generative AI for business innovation and development
Identify ways generative AI can provide a competitive edge in the market
Understand ethical considerations and foster responsible AI governance
Who Should Attend
Please refer to the job roles section.
C-Suite Executives (CEO, CFO, COO, CPO, CIO, CDO, etc.): Senior management responsible for building a strategic roadmap integrating generative AI into core businesses, driving transformative change through AI-driven innovation and decision-making, and championing ethical AI practices that align with corporate values.
Senior management responsible for building a strategic roadmap integrating generative AI into core businesses, driving transformative change through AI-driven innovation and decision-making, and championing ethical AI practices that align with corporate values. Senior Business Leaders focused on driving operational efficiencies and competitive differentiation through AI, fostering an AI-savvy culture to seize emerging business opportunities, and implementing AI solutions to enhance customer experiences and value propositions.
focused on driving operational efficiencies and competitive differentiation through AI, fostering an AI-savvy culture to seize emerging business opportunities, and implementing AI solutions to enhance customer experiences and value propositions. Board of Directors overseeing AI governance, ensuring accountability, compliance, and risk management, while shaping the organisation's strategic direction with AI-informed insights and stewarding long-term AI investments and technology adoption.
overseeing AI governance, ensuring accountability, compliance, and risk management, while shaping the organisation's strategic direction with AI-informed insights and stewarding long-term AI investments and technology adoption. Senior Government Leaders in civil service leveraging AI to enhance public sector effectiveness and service delivery, develop ethical AI policies, enhance citizen engagement and achieve national objectives aligned with the Singapore AI Strategy 2.0 roadmap.
Prerequisites
Minimum 1 year of professional experience in any role
Basic understanding of digital technologies and their business impact
Genuine interest in technology transformation and innovation What To Bring Bring Your Own Laptop - Participants are required to bring your own internet-enabled laptop with these recommended configuration; Intel Core i5 (sixth generation or newer) or equivalent, Microsoft Windows 10 Professional, 8GB (or higher) RAM. The recommended web browser is Google Chrome to access courseware on the ISS learning management system. No printed course materials will be issue.
At the end of this programme, you will be able to:
| 2022-12-01T00:00:00 |
https://www.thedigitalacademy.tech.gov.sg/course/detail/(generative)-ai-for-business-leaders-(or-government-leaders)
|
[
{
"date": "2022/12/01",
"position": 84,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 83,
"query": "AI business leaders"
},
{
"date": "2023/04/01",
"position": 81,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 75,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 80,
"query": "AI business leaders"
},
{
"date": "2023/08/01",
"position": 75,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 75,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 75,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 76,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 88,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 83,
"query": "AI business leaders"
},
{
"date": "2024/12/01",
"position": 76,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 86,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 83,
"query": "AI business leaders"
}
] |
|
AI explained for non-technical business leaders - SIG
|
AI explained for non-technical business leaders
|
https://www.softwareimprovementgroup.com
|
[
"Sruthi Srinath"
] |
This article aims to offer a comprehensive introduction to AI for executives and IT leaders, explaining foundational concepts like machine learning, deep ...
|
One of the key advancements in deep learning is its ability to power generative AI, which is responsible for innovations like ChatGPT and other large language models. These models are trained on vast amounts of text, allowing them to predict the next word in a sentence, generate coherent text, or even answer complex questions. While this task may sound simple, it requires the model to build a deep understanding of context, language, and the relationships between words.
In essence, deep learning enables AI systems to handle more complex tasks by using neural networks to learn from massive datasets, making it a driving force behind many of today’s AI advancements.
This type of AI is not limited to generating text. It also extends into coding—AI models are trained on large repositories of code and can help developers by generating new code snippets or even entire functions. However, it’s important to remember that AI’s outputs are only as good as the data it learns from. Poor-quality input can lead to flawed results, so AI systems need to be carefully managed and tested to ensure they are reliable
| 2024-11-27T00:00:00 |
2024/11/27
|
https://www.softwareimprovementgroup.com/ai-for-business-leaders/
|
[
{
"date": "2022/12/01",
"position": 85,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 84,
"query": "AI business leaders"
},
{
"date": "2023/02/01",
"position": 81,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/04/01",
"position": 82,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 81,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 78,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/11/01",
"position": 79,
"query": "artificial intelligence business leaders"
},
{
"date": "2023/12/01",
"position": 80,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/01/01",
"position": 76,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/02/01",
"position": 73,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/05/01",
"position": 81,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/07/01",
"position": 81,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/09/01",
"position": 81,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/10/01",
"position": 81,
"query": "artificial intelligence business leaders"
},
{
"date": "2024/11/01",
"position": 86,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 81,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/01/01",
"position": 81,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/02/01",
"position": 48,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 48,
"query": "artificial intelligence business leaders"
}
] |
The AI in Business Podcast
|
The AI in Business Podcast
|
https://podcasts.apple.com
|
[
"Rich Tanya"
] |
The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI.
|
Today’s guest is Itumeleng Masunyane, Senior Vice President of Internal Audit at Amicorp Group. Amicorp provides corporate management, financial markets, and fund administration services with a strong presence in emerging markets. Itumeleng joins Emerj Editorial Director Matthew DeMello on the show to discuss the expanding role of AI in internal audit — moving beyond compliance into broader strategic influence across the enterprise. She shares how AI is enabling real-time risk monitoring, automating routine audit tasks, and helping internal audit teams generate timely insights for business leaders. Their conversation also explores how audit functions can reposition themselves as key players in digital transformation efforts and what foundational shifts in data infrastructure and team culture are needed to support that evolution. For audit and risk leaders, Itumeleng offers a grounded perspective on where AI is already making a measurable impact — and why human judgment remains essential for interpreting results, advising stakeholders, and driving long-term value. The views expressed by Itumeleng on today’s program do not reflect that of Amicorp or its leadership. This episode is sponsored by MindBridge. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast!
| 2022-12-01T00:00:00 |
https://podcasts.apple.com/us/podcast/the-ai-in-business-podcast/id670771965
|
[
{
"date": "2022/12/01",
"position": 92,
"query": "AI business leaders"
},
{
"date": "2023/01/01",
"position": 92,
"query": "AI business leaders"
},
{
"date": "2023/04/01",
"position": 94,
"query": "AI business leaders"
},
{
"date": "2023/05/01",
"position": 84,
"query": "AI business leaders"
},
{
"date": "2023/06/01",
"position": 85,
"query": "AI business leaders"
},
{
"date": "2023/08/01",
"position": 84,
"query": "AI business leaders"
},
{
"date": "2023/11/01",
"position": 84,
"query": "AI business leaders"
},
{
"date": "2024/01/01",
"position": 84,
"query": "AI business leaders"
},
{
"date": "2024/07/01",
"position": 84,
"query": "AI business leaders"
},
{
"date": "2024/09/01",
"position": 96,
"query": "AI business leaders"
},
{
"date": "2024/10/01",
"position": 97,
"query": "AI business leaders"
},
{
"date": "2024/11/01",
"position": 96,
"query": "AI business leaders"
},
{
"date": "2024/12/01",
"position": 84,
"query": "AI business leaders"
},
{
"date": "2025/01/01",
"position": 93,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 100,
"query": "AI business leaders"
},
{
"date": "2025/02/01",
"position": 93,
"query": "artificial intelligence business leaders"
},
{
"date": "2025/06/01",
"position": 94,
"query": "AI business leaders"
},
{
"date": "2025/06/01",
"position": 95,
"query": "artificial intelligence business leaders"
}
] |
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