Prediction machines : (Record no. 86938)

MARC details
000 -LEADER
fixed length control field 02733cam a2200349 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250717145502.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 171108s2018 mau 000 0 eng c
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781647824679
040 ## - CATALOGING SOURCE
Transcribing agency STCPL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.056 3
Item number AJA-P
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Agrawal, Ajay
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Gans, Joshua
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Goldfarb, Avi
245 10 - TITLE STATEMENT
Title Prediction machines :
Remainder of title The simple economics of artificial intelligence /
Statement of responsibility, etc. by Ajay Agrawal, Joshua Gans and Avi Goldfarb
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boston:
Name of publisher, distributor, etc. Harvard Business Review Press ,
Date of publication, distribution, etc. 2022.
300 ## - PHYSICAL DESCRIPTION
Extent 280 p.
Other physical details Hard Back
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 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Economics
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Decision making
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Prediction
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Decision making
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Economic aspects
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Forecasting
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistical methods
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Cheap changes everything -- The magic of prediction -- Why it's called intelligence -- Data is the new oil -- The new division of labor -- Unpacking decisions -- The value of judgment -- Taming complexity -- What machines can learn -- Fully automated decision-making -- Deconstructing workflows -- Decomposing decisions -- Job redesign -- AI in the C-suite -- When AI transforms your business -- Managing AI risk -- Beyond business.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Collection code Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification   Economics   ST. THOMAS COLLEGE LIBRARY, PALAI ST. THOMAS COLLEGE LIBRARY, PALAI Economics 2025-07-17 1399.00   658.056 3 AJA-P 92918 2025-07-17 2025-07-17 Books
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