Prediction Machines | Ajay Agrawal, Joshua Gans, Avi Goldfarb | englisch
The Simple Economics of Artificial Intelligence
Autor: Ajay Agrawal, Joshua Gans, Avi Goldfarb
Format: gebunden
Seitenanzahl: X
Verlag: Ingram Publisher Services
Erscheinungsdatum: 20180417
Sprache: englisch
Genre: Importe
Höhe in mm: 29
Länge in mm: 242
Breite in mm: 164
Gewicht in g: 499
Beschreibung
A strategic guide to employing the most-talked-about--and potentially most disruptive--technology of the decade.
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
Portrait
Ajay Agrawal is Professor of Strategic Management and Peter Munk Professor of Entrepreneurship at the University of Toronto's Rotman School of Management. He is also cofounder of The Next 36 and Next AI, cofounder of the AI/robotics company Kindred, and founder of the Creative Destruction Lab. Ajay conducts research on technology strategy, science policy, entrepreneurial finance, and the geography of innovation.
Joshua Gans is Professor of Strategic Management and the holder of the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at Toronto's Rotman School of Management. Gans is a frequent contributor to outlets like the New York Times, Harvard Business Review, Forbes, Slate, and the Financial Times. Joshua also writes regularly at several blogs including Digitopoly.
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. His research has been widely covered in the popular press.
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
Portrait
Ajay Agrawal is Professor of Strategic Management and Peter Munk Professor of Entrepreneurship at the University of Toronto's Rotman School of Management. He is also cofounder of The Next 36 and Next AI, cofounder of the AI/robotics company Kindred, and founder of the Creative Destruction Lab. Ajay conducts research on technology strategy, science policy, entrepreneurial finance, and the geography of innovation.
Joshua Gans is Professor of Strategic Management and the holder of the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at Toronto's Rotman School of Management. Gans is a frequent contributor to outlets like the New York Times, Harvard Business Review, Forbes, Slate, and the Financial Times. Joshua also writes regularly at several blogs including Digitopoly.
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. His research has been widely covered in the popular press.