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Prediction Machines: The Simple Economics of Artificial Intelligence

Prediction Machines: The Simple Economics of Artificial Intelligence

By Ajay Agrawal, Joshua Gans, and Avi Goldfarb

A strategic guide to employing the most-talked-about--and potentially most disruptive--technology of the decade. The authors' simple model is easy to understand, and clarifying for busy executives who have heard so much about AI but haven't wrapped their heads around it Yet it's hard to put into practice and apply if you're not one of them, so there's good reason to buy the book still Despite many books on robots, the book is ahead of the curve in presenting something useful Audience: This book is targeted at decision‐makers who want to understand how artificial intelligence will affect their business: business leaders, especially those tasked with thinking through strategy and capital allocation decisions.

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Quantity Price Discount
List Price $30.00  
1 - 24 $24.00 20%
25 - 99 $21.00 30%
100 - 499 $19.50 35%
500 + $18.90 37%

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$30.00


Book Information

Publisher: Harvard Business Review Press
Publish Date: 04/17/2018
Pages: 272
ISBN-13: 9781633695672
ISBN-10: 1633695670
Language: English

Full Description

A strategic guide to employing the most-talked-about--and potentially most disruptive--technology of the decade.

  • The authors' simple model is easy to understand, and clarifying for busy executives who have heard so much about AI but haven't wrapped their heads around it
  • Yet it's hard to put into practice and apply if you're not one of them, so there's good reason to buy the book still
  • Despite many books on robots, the book is ahead of the curve in presenting something useful

Audience: This book is targeted at decision‐makers who want to understand how artificial intelligence will affect their business: business leaders, especially those tasked with thinking through strategy and capital allocation decisions.

Announced first printing: 20,000
Laydown goal: 3,500

About the Authors

Ajay Agrawal is Professor of Strategic Management and the Geoffrey Taber Chair in Entrepreneurship and Innovation at the University of Toronto's Rotman School of Management.

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Joshua Gans is Professor of Strategic Management and holds the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at the University of Toronto's Rotman School of Management.

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Avi Goldfarb is the Ellison Professor of Marketing at Toronto's Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, a Fellow at Behavioral Economics in Action at Rotman, and a Research Associate at the National Bureau of Economic Research.

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