MARC details
| 000 -LEADER |
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| fixed length control field |
03898cam a2200349 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
22645888 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20260330163338.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220609s2022 maua b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
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| LC control number |
2022020618 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781647824198 |
| Qualifying information |
(hardcover) |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
IILMLR |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.33 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Agrawal, Ajay, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Power and prediction : |
| Remainder of title |
the disruptive economics of artificial intelligence / |
| Statement of responsibility, etc. |
Ajay Agrawal, Joshua Gans, Avi Goldfarb. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Boston, Massachusetts : |
| Name of producer, publisher, distributor, manufacturer |
Harvard Business Review Press, |
| Date of production, publication, distribution, manufacture, or copyright notice |
[2022] |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 268 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
25 cm |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references (pages 237-253) and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Part 1: The Between Times -- Chapter 1: A Parable of Three Entrepreneurs -- Chapter 2: AI's System Future -- Chapter 3: AI Is Prediction Technology -- Part 2: Rules -- Chapter 4: To Decide or Not to Decide -- Chapter 5: Hidden Uncertainty -- Chapter 6: Rules are Glue -- Part 3: Systems -- Chapter 7: Glued vs. Oiled Systems -- Chapter 8: The System Mindset -- Chapter 9: The Greatest System of All -- Part 4: Power -- Chapter 10: Disruption and Power -- Chapter 11: Do Machines Have Power? -- Agrawal et al FM- -- Chapter 12: Accumulating Power -- Part 5: How AI Disrupts -- Chapter 13: A Great Decoupling -- Chapter 14: Thinking Probabilistically -- Chapter 15: The New Judges -- Part 6: Envisaging New Systems -- Chapter 16: Designing Reliable Systems -- Chapter 17: The Blank Slate -- Chapter 18: Anticipating System Change -- Epilogue: AI Bias and Systems |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Banking and finance, pharmaceuticals, automotive, medical technology, retail. Artificial intelligence (AI) has made its way into many industries around the world. But the truth is, it has just begun its odyssey toward cheaper, better, and faster predictions to drive strategic business decisions-powering and accelerating business. When prediction is taken to the max, industries transform. The disruption that comes with such transformation is yet to be felt-but it is coming. How do businesses prepare? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go further to reveal AI as a prediction technology directly impacting decision-making and to teach businesses how to identify disruptive opportunities and threats resulting from AI. Their exhaustive study of new developments in artificial intelligence and the past history of how technologies have disrupted industries highlights the striking phase we are now in: after witnessing the power of this new technology and before its widespread adoption-what they call "the Between Times." While there continue to be important opportunities for businesses, there are also threats of disruption. As prediction machines improve, old ways of doing things will be upended. Also, the process by which AI filters into the many systems involved in application is very uneven. That process will have winners and losers. How can businesses leverage, or protect, their positions? Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-read guide for any business leader or policy maker on how to make the coming AI disruptions work for you rather than against you"-- |
| Assigning source |
Provided by publisher. |
| 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 |
Prediction of occupational success. |
| 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 |
Disruptive technologies. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Power (Social sciences) |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gans, Joshua, |
| Dates associated with a name |
1968- |
| Relator term |
author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Goldfarb, Avi, |
| Relator term |
author. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |
| Classification part |
oo6.33 AGR 2022 |
| Suppress in OPAC |
No |
