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Prediction Machines The Simple Economics of Artificial Intellig... 9781633695672

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Prediction Machines
Country/Region of Manufacture
United States
Topic
N/A
Height
237mm
Depth
25mm
Weight
488g
Modified Item
No
Subjects
N/A
Country
N/A
Region
N/A
City
N/A
Imprint
Harvard Business Review Press
Era
N/A
Series
N/A
Publication Country
US
ISBN-10
N/A
Edition
N/A
Pagination
256
Width
162mm
Features
N/A
ISBN
9781633695672
Publication Year
2018
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Prediction Machines: the Simple Economics of Artificial Intelligence
Item Height
235mm
Author
A. Agrawal, Avi Goldfarb, Joshua Gans
Publisher
Harvard Business Review Press
Item Width
156mm
Subject
Government, Computer Science, Management, Business
Number of Pages
256 Pages

About this product

Product Information

The idea of artificial intelligence - job-killing robots, self-driving cars, and self-managing organisations - captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. Once managers can separate tasks into components of prediction and judgment, we can begin to understand how to optimize the interface between humans and machines. More than just an account of AI's powerful capabilities, Prediction Machines shows managers how they can most effectively leverage AI, disrupting business as usual only where required, and provides businesses with a toolkit to navigate the coming wave of challenges and opportunities.

Product Identifiers

Publisher
Harvard Business Review Press
ISBN-13
9781633695672
eBay Product ID (ePID)
5046616830

Product Key Features

Author
A. Agrawal, Avi Goldfarb, Joshua Gans
Publication Name
Prediction Machines: the Simple Economics of Artificial Intelligence
Format
Hardcover
Language
English
Subject
Government, Computer Science, Management, Business
Publication Year
2018
Type
Textbook
Number of Pages
256 Pages

Dimensions

Item Height
235mm
Item Width
156mm

Additional Product Features

Title_Author
A. Agrawal, Avi Goldfarb, Joshua Gans
Country/Region of Manufacture
United States

Item description from the seller

Business seller information

PCS Books Ltd
Suleman Thadha
Unit 5, Vulcan House
Vulcan Road
Leicester
Leicestershire
LE5 3EF
United Kingdom
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:liamEmoc.liamg@hcetinimonan
Value added tax number:
  • GB 883421809
Trade registration number:
  • 05643251
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