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Prediction Machines - 9781633695672
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Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Book Title
- Prediction Machines
- ISBN
- 9781633695672
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
Publication Year
2018
Subject
Government, Computer Science, Management, Business
Number of Pages
256 Pages
Language
English
Publication Name
Prediction Machines: the Simple Economics of Artificial Intelligence
Type
Textbook
Format
Hardcover
Dimensions
Item Height
235 mm
Item Width
156 mm
Additional Product Features
Country/Region of Manufacture
United States
Item description from the seller
Business seller information
Value Added Tax Number:
- GB 976952259
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