Prediction machines : the simple economics of artificial intelligence (Record no. 29217)

000 -LEADER
fixed length control field nam a22 7a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 181127b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781633695672
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658​.0563
Item number AGR
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Agrawal, Ajay
245 ## - TITLE STATEMENT
Title Prediction machines : the simple economics of artificial intelligence
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Harvard business review press,
Date of publication, distribution, etc 2018
Place of publication, distribution, etc Boston:
300 ## - PHYSICAL DESCRIPTION
Extent x,250p. :
Other physical details ill. ;
Dimensions 25 cm.
365 ## - TRADE PRICE
Price type code INR
Price amount 1250
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
Topical term or geographic name as entry element Economic aspects
Topical term or geographic name as entry element Decision making
Topical term or geographic name as entry element Forecasting
Topical term or geographic name as entry element Statistical methods
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last borrowed Koha item type
          DAIICT DAIICT 2018-11-26 Baroda Book Corporation 1250.00 3 658​.0563 AGR 031713 2019-03-05 2019-02-19 Books

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