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Prediction Machines: The Simple Economics of Artificial Intelligence

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Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
ISBN
9781633695672
Publication Year
2018
Type
Textbook
Format
Hardcover
Language
English
Author
Avi Goldfarb, Ajay Agrawal, Joshua Gans
Item Length
9.2in
Publisher
Harvard Business Review Press
Genre
Computers, Education, Business & Economics, Social Science
Topic
Industries / Computers & Information Technology, Future Studies, Decision-Making & Problem Solving, Intelligence (Ai) & Semantics, Economics / General
Item Width
6.1in
Number of Pages
272 Pages

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Product Information

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 decisionmakers 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

Product Identifiers

Publisher
Harvard Business Review Press
ISBN-10
1633695670
ISBN-13
9781633695672
eBay Product ID (ePID)
240589837

Product Key Features

Author
Avi Goldfarb, Ajay Agrawal, Joshua Gans
Format
Hardcover
Language
English
Topic
Industries / Computers & Information Technology, Future Studies, Decision-Making & Problem Solving, Intelligence (Ai) & Semantics, Economics / General
Publication Year
2018
Type
Textbook
Genre
Computers, Education, Business & Economics, Social Science
Number of Pages
272 Pages

Dimensions

Item Length
9.2in
Item Width
6.1in

Additional Product Features

Lc Classification Number
Ta347.A78a385 2018
Reviews
Advance Praise for Prediction Machines : Lawrence H. Summers, Charles W. Eliot Professor, former president, Harvard University; former secretary, US Treasury; and former chief economist, World Bank-- "AI may transform your life. And Prediction Machines will transform your understanding of AI. This is the best book yet on what may be the best technology that has come along." Susan Athey, Economics of Technology Professor, Stanford University; former consulting researcher, Microsoft Research New England-- " Prediction Machines is a path-breaking book that focuses on what strategists and managers really need to know about the AI revolution. Taking a grounded, realistic perspective on the technology, the book uses principles of economics and strategy to understand how firms, industries, and management will be transformed by AI." Dominic Barton, Global Managing Partner, McKinsey & Company-- " Prediction Machines achieves a feat as welcome as it is unique: a crisp, readable survey of where artificial intelligence is taking us separates hype from reality, while delivering a steady stream of fresh insights. It speaks in a language that top executives and policy makers will understand. Every leader needs to read this book." Kevin Kelly, founding executive editor, Wired ; author, What Technology Wants and The Inevitable -- "This book makes artificial intelligence easier to understand by recasting it as a new, cheap commodity--predictions. It's a brilliant move. I found the book incredibly useful."
Publication Name
Prediction Machines : the Simple Economics of Artificial Intelligence
Copyright Date
2018
Lccn
2017-049211
Dewey Decimal
658/.0563
Intended Audience
Trade
Dewey Edition
23
Illustrated
Yes

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