Joshua Gans on Prediction Machines

Ideas for Leaders #P027

Joshua Gans on Prediction Machines

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Joshua Gans is a professor of strategic management and holds the Jeffrey S. Skoll Chair in Technical Innovation and Entrepreneurship at Rotman School of Management at the University of Toronto. His research is primarily focused on understanding the economic drivers of innovation and scientific progress, and has core interests in digital strategy and antitrust policy. Joshua serves on the editorial board of Management Science, managing director of the Core Research consultancy and writes regularly for Forbes, HBR and Digitopoly. He has recently co-authored Prediction Machines, a book exploring the simple economics of artificial intelligence with his colleagues from Rotman's Creative Destruction Lab,  Ajay Agarwal and Avi Goldfarb.


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