MARC details
| 000 -LEADER |
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| fixed length control field |
02571nam a22002177a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20241121160843.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
241121b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781647824198 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.33 |
| Item number |
AGA |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Agrawal, Ajay |
| 245 ## - TITLE STATEMENT |
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| Title |
Power and prediction: |
| Remainder of title |
the disruptive economics of artificial intelligence |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc. |
Harvard Business Review Press |
| Place of publication, distribution, etc. |
Boston |
| Date of publication, distribution, etc. |
2022 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xiv, 268 p. |
| 365 ## - TRADE PRICE |
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| Price type code |
INR |
| Price amount |
1399.00 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Artificial intelligence (AI) has impacted many industries around the world--banking and finance, pharmaceuticals, automotive, medical technology, manufacturing, and retail. But it has only just begun its odyssey toward cheaper, better, and faster predictions that drive strategic business decisions. When prediction is taken to the max, industries transform, and with such transformation comes disruption.<br/><br/>What is at the root of this? 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 deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it. The rise of AI is shifting prediction from humans to machines, relieving people from this cognitive load while increasing the speed and accuracy of decisions.<br/><br/>This sets the stage for a flourishing of new decisions and has profound implications for system-level innovation. Redesigning systems of interdependent decisions takes time--many industries are in the quiet before the storm--but when these new systems emerge, they can be disruptive on a global scale. Decision-making confers power. In industry, power confers profits; in society, power confers control. This process will have winners and losers, and the authors show how businesses can leverage opportunities, as well as protect their positions.<br/><br/>Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-read guide for any business leader or policymaker on how to make the coming AI disruptions work for you rather than against you.<br/><br/>(https://store.hbr.org/product/power-and-prediction-the-disruptive-economics-of-artificial-intelligence/10580?sku=10580E-KND-ENG) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Artificial intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Forecasting |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Gans, Joshua |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Goldfarb, Avi |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |