MARC details
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03661cam a2200397 i 4500 |
| 001 - CONTROL NUMBER |
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on1030607642 |
| 003 - CONTROL NUMBER IDENTIFIER |
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OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20240726105212.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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180407t20182018mau ob 001 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
YDX |
| Language of cataloging |
eng |
| Description conventions |
rda |
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pn |
| Transcribing agency |
YDX |
| Modifying agency |
EBLCP |
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OCLCO |
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OCLCQ |
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MERUC |
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UAB |
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OCLCO |
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NT |
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IDB |
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OCLCF |
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OCLCQ |
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RCJ |
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EZ9 |
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OSU |
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INT |
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TEU |
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OCLCO |
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CUT |
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CEF |
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OCLCQ |
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DKU |
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WYU |
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OCLCQ |
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OCLCA |
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VLB |
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OCLCA |
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OCLCQ |
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K6U |
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UKAHL |
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RECBK |
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SFB |
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ORE |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781633695689 |
| Qualifying information |
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| 050 04 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
TA347 |
| Item number |
.P743 2018 |
| 049 ## - LOCAL HOLDINGS (OCLC) |
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| Holding library |
MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Agrawal, Ajay, |
| Relator term |
Author |
| 245 10 - TITLE STATEMENT |
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| 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. |
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| Place of publication, distribution, etc. |
Boston, Massachusetts : |
| Name of publisher, distributor, etc. |
Harvard Business Review Press, |
| Date of publication, distribution, etc. |
(c)2018. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 online resource (x, 250 pages) |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
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| File type |
data file |
| Source |
rda |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographies and index. |
| 505 00 - FORMATTED CONTENTS NOTE |
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| Title |
Introduction: Machine Intelligence -- |
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Cheap changes everything -- |
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Prediction -- |
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Prediction machine magic -- |
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Why it's called intelligence -- |
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Data is the new oil -- |
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The new division of labor -- |
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Decision Making -- |
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Unpacking decisions -- |
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The value of judgment -- |
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Predicting judgment -- |
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Taming complexity -- |
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Fully automated decision making -- |
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Tools. Deconstructing workflows -- |
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Decomposing decisions -- |
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Job redesign -- |
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Strategy -- |
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AI in the C-suite -- |
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When AI transforms your business -- |
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Your learning strategy -- |
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Managing AI risk -- |
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Society -- |
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Beyond business. |
| 520 0# - SUMMARY, ETC. |
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| 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.-- |
| Assigning source |
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| 530 ## - COPYRIGHT INFORMATION: |
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| COPYRIGHT INFORMATION |
COPYRIGHT NOT covered - Click this link to request copyright permission: |
| Uniform Resource Identifier |
<a href="b">b</a> |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Artificial intelligence |
| General subdivision |
Economic aspects. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Decision making |
| General subdivision |
Statistical methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Forecasting |
| General subdivision |
Statistical methods. |
| 655 #1 - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
Electronic Books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Gans, Joshua, |
| Dates associated with a name |
1968- |
| Relator term |
|
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Goldfarb, Avi, |
| Relator term |
|
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1798834&site=eds-live&custid=s3260518">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1798834&site=eds-live&custid=s3260518</a> |
| -- |
Click to access digital title | log in using your CIU ID number and my.ciu.edu password |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) |
| DONATED BY: |
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| VENDOR |
EBSCO |
| Classification part |
TA. |
| PUBLICATION YEAR |
2018 |
| LOCATION |
ONLINE |
| REQUESTED BY: |
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NFIC |
| Source of classification or shelving scheme |
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| 994 ## - |
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92 |
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NT |
| 902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) |
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| a |
1 |
| b |
Cynthia Snell |
| c |
1 |
| d |
Cynthia Snell |