Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence
Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence
Author : Agrawal, Ajay
Publisher : Harvard Business Review Press
Book Overview“Prediction Machines” reframes the AI revolution by showing that the key shift is not machines that think, but prediction becoming cheaper and more accessible. When prediction is inexpensive, many...
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Book Overview
“Prediction Machines” reframes the AI revolution by showing that the key shift is not machines that think, but prediction becoming cheaper and more accessible. When prediction is inexpensive, many of the decisions we make in business, policy, and daily life change. This updated and expanded edition provides fresh insights on how prediction enables new strategies, shifts power, alters the role of judgment, and explores emergent technologies like quantum computing, alongside real world examples to guide leaders through the transformation.
About The Author
Ajay Agrawal is Professor of Strategic Management and Geoffrey Taber Chair in Entrepreneurship & Innovation at the Rotman School of Management, University of Toronto; founder of the Creative Destruction Lab and the Metaverse Mind Lab. Joshua Gans holds the Jeffrey S. Skoll Chair of Technical Innovation & Entrepreneurship at Rotman; Avi Goldfarb is Rotman Chair in Artificial Intelligence & Healthcare. The three authors combine economics, strategy, and AI research to explore prediction in modern systems.
- Book cover: Hardcover
- Pages: 304
- ISBN number: 978?1647824679
- Publisher name: Harvard Business Review Press
- Author: Ajay Agrawal; Joshua Gans; Avi Goldfarb
- Language: English