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Data and AI

How AI Is Already Transforming Fortune 500 Businesses, According to Their CEOs

At a recent Yale CEO Summit, Prof. Jeffrey Sonnenfeld talked to business leaders about the AI tools and other new technologies appearing everywhere from back offices to fast-food kitchens. Sonnenfeld and co-author Steven Tian outline the looming changes in a variety of sectors.

A Chipotle chef with Chippy, an autonomous kitchen assistant that makes tortilla chips
  • AI Can Write a More Believable Restaurant Review Than a Human Can

    Yale SOM’s Balázs Kovács used ChatGPT to write a series of Yelp-style reviews, as well as collecting real reviews from the site, and then asked human subjects to decide which was the real thing. They were more convinced of the authenticity of the AI-written reviews.

    A robot sitting at a table at a restaurant, writing a Yelp review on a smartphone
  • Collection No. 8

    Are You Ready for AI?

    Of the many technologies that have changed our lives since the invention of the microchip, generative AI may have had the most dramatic debut. ChatGPT is likely the fastest-growing internet service ever, and every major tech company is scrambling to incorporate Large Language Models into their products. We’ve been talking with Yale faculty and alumni about the potential of the technology to both advance and disrupt our society.

    An illustration of a robot greeting an office worker drinking coffee
  • What Have the Bots Learned about Us?

    The emergence of generative AI has opened new possibilities for the mass creation and dissemination of misinformation. Are the major social media platforms ready? We talked to Prof. Tauhid Zaman, who studies how bots manipulate opinion on social networks.

    A closeup of a women's eye with a computer screen reflected in it
  • Is AI a Savior or a Peril—or Both?

    With applications of artificial intelligence spreading from the realm of data science to the apps at your fingertips, a day-long conference at the Yale School of Management considered how to unlock the technology’s positive potential while containing possibilities for misuse, misinformation, and labor-market mayhem.

    A wide angle of an auditorium with speakers on the stage
  • Can ChatGPT Accelerate Social Science Research? 

    Yale SOM’s Balázs Kovács and his co-authors spent years designing a computer-based method to measure “typicality.” In a new study, they found that ChatGPT could duplicate their results at a fraction of the cost.

    An illustration of researchers watching a robot write on a blackboard
  • For Companies Eyeing AI, the Question Is ‘When, Not If’

    Generative AI may well be transformative, but firms will need to make judgments on whether the costs, challenges, and risks of being a first mover makes sense.

    A graphic of a computer assembling a document with its arms
  • Data from Twitter Can Predict a Crypto Coin’s Ascent

    Cryptocurrencies are notoriously volatile. But listening carefully to social media chatter can help identify winning short-term investments in crypto, according to a study from Yale SOM’s Tauhid Zaman and Khizar Qureshi.

    Cryptocurrency coins surfing high waves
  • Can AI Help Design a More Appealing Car?

    Designing a new car is expensive, time-consuming, and risky. In a new study, Yale SOM’s Alex Burnap shows how machine learning can identify promising models and help designers generate new designs.

    The newly announced Buick Enclave at the 2006 Los Angeles Auto Show. 
  • Putting AI on Every Team

    Is artificial intelligence ready to become a standard business tool? McKinsey’s Bryce Hall ’12 says that combining human expertise and judgment with AI’s data-driven recommendations is a challenging but powerful way to deliver business results.

    An illustration of two people standing on top of a stack of computers using AI tools
  • Can AI Make Economic Predictions by Reading the Newspaper? 

    In a new study, a team led by Yale SOM researchers devised a way to distill the text of the Wall Street Journal into numerical indicators, which could help policymakers predict how the business cycle will unfold over the coming months and years.

    An illustration of a robot reading the Wall Street Journal