Prediction Machines: The Simple Economics of Artificial Intelligence
| AUTHOR | Agrawal, Ajay; Gans, Joshua; Goldfarb, Avi |
| PUBLISHER | Harvard Business Review Press (04/17/2018) |
| PRODUCT TYPE | Hardcover (Hardcover) |
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
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