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Ajay Agrawal

Power and Prediction

The Disruptive Economics of Artificial Intelligence

Ebook (EPUB Format)

Disruption resulting from the proliferation of AI is coming. The authors of the bestselling Prediction Machines describe what you can do to prepare.Banking and finance, pharmaceuticals, automotive, medical technology, retail. Artificial intelligence (AI) has made its way into many industries around the world. But the truth is, it has just begun its odyssey toward cheaper, better, and faster predictions to drive strategic business decisions—powering and accelerating business. When prediction is taken to the max, industries transform. The disruption that comes with such transformation is yet to be felt—but it is coming.How do businesses prepare… Mehr

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Produktdetails


Weitere Autoren: Gans, Joshua / Goldfarb, Avi
  • ISBN: 978-1-64782-420-4
  • EAN: 9781647824204
  • Produktnummer: 38216771
  • Verlag: Harvard Business Review Press
  • Sprache: Englisch
  • Erscheinungsjahr: 2022
  • Seitenangabe: 256 S.
  • Plattform: EPUB

Über den Autor


Ajay Agrawal is Professor of Strategic Management and Geoffrey Taber Chair in Entrepreneurship and Innovation at the University of Toronto's Rotman School of Management. He is founder of the Creative Destruction Lab, cofounder of Next 36 and Next AI, and cofounder of Sanctuary, an AI/robotics company. Ajay conducts research on the economics of innovation and is a research associate at the National Bureau of Economic Research and faculty affiliate at the Vector Institute for Artificial Intelligence.Joshua Gans is the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship and Professor of Strategic Management at Toronto's Rotman School of Management. He is Chief Economist of the Creative Destruction Lab, department editor (Strategy) at Management Science, and cofounder and managing director of Core Economic Research. Joshua has published numerous books on innovation, disruption, entrepreneurship, and most recently, pandemic economics. He is a research associate at the National Bureau of Economic Research, a research affiliate at MIT, a senior academic fellow at the e61 Institute, a distinguished fellow of the Luohan Academy, and a fellow of the Academy of Social Sciences in Australia.Avi Goldfarb is the Rotman Chair in AI and Healthcare and Professor of Marketing at Toronto's Rotman School of Management. Avi is also Chief Data Scientist at the Creative Destruction Lab, a fellow at Behavioral Economics in Action at Rotman, a faculty affiliate at the Vector Institute for Artificial Intelligence, and a research associate at the National Bureau of Economic Research. A former senior editor at Marketing Science, Avi conducts research on privacy and the economics of technology.

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