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Choosing Your First Generative AI Use Cases
To get started with generative AI, first focus on areas that can improve human experiences with information.
Also inside, market reacts to Trump move to revoke AI safety, security standards; artificial general intelligence: EY on the short-term future and more
Here are the most-read stories on AI Business this week.
Alongside technology company leaders, President Donald Trump announced the launch of a $500 billion AI infrastructure project this week, one he said is the largest in U.S. history.
Trump was joined by Oracle executive chairman Larry Ellison, SoftBank CEO Masayoshi Son and OpenAI CEO Sam Altman for the announcement of Stargate.
Stargate plans to invest $500 billion in AI infrastructure in the U.S. with $100 billion invested immediately. The project, Trump said, is moving rapidly and will create more than 100,000 jobs.
“It will ensure the future of technology,” Trump said during a White House press conference Tuesday night. “What we want to do is keep it in this country. China is a competitor and others are competitors.”
The frothy excitement with which companies greeted the promise of generative AI a year ago has slowed to more of a simmering optimism as they confront the complexities of turning its possibilities into results, a new survey finds.
While generative AI technology continues to advance at incredible speed, “most organizations are moving at the speed of organizations, not at the speed of technology,” write the authors of Deloitte’s fourth State of Generative AI in the Enterprise.
“GenAI use cases are rapidly proliferating in leading enterprises across industries,” Deloitte Global CEO Joe Ucuzoglu said. “We are seeing a shift as leaders move past the initial hype to strategically deploying GenAI in the core of their businesses. Focus is essential, prioritizing demonstrated use cases with measurable return on investment (ROI).”
The survey, the fourth in a quarterly series, aims to track the adoption of generative AI in business and builds on Deloitte’s State of AI in the Enterprise, which has been running for six years.
Discover the report's findings
Within hours of taking the oath of office Monday, President Donald Trump took the first steps to reverse dozens of executive orders he called “harmful executive orders and actions,” including one enacted in 2023 about the safe and secure use of artificial intelligence.
Executive Order 14110, enacted in 2023 for the “Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence,” was one of dozens on the Trump Administration's Executive Order “Initial Rescissions of Harmful Executive Orders and Actions.”
As of Tuesday morning, it no longer appeared on the White House website, nor does the fact sheet about the executive order.
Executive Order 14110 established a government-wide effort to guide responsible AI development, deployment and regulation.
Artificial general intelligence (AGI) is a type of AI that promises to disrupt several industries and address some of the world’s biggest problems by matching or surpassing human cognitive capabilities.
Despite the concept originating in science fiction, AGI could be closer than once thought. According to Beatriz Sanz Sáiz, EY Global Consulting data and AI Leader, it could be here in as few as two years.
In this Q&A, Sanz Sáiz discusses the current state of AGI development, how AGI could transform multiple industry sectors and the regulatory challenges and responsible AI principles that need to be in place to ensure its introduction is done safely.
Discover what AGI will mean for businesses
IBM and L'Oréal will join forces to develop a new custom AI foundation model to help the cosmetics giant improve its use of sustainable raw materials and reduce energy and material waste.
The model, which IBM said will be a beauty industry first, would be built using IBM's generative AI technology and be fed cosmetic formulation data from L'Oréal.
The system would use a large number of formulations and component data points to accelerate the formulation of new products, reformulation of existing cosmetics and optimization for scaled production.
By combining L'Oréal's expertise in cosmetic science with IBM's AI technologies, the companies said they expect to “unlock a future where science and technology can inform or help prioritize solutions that are both ecologically responsible and innovative.”
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