| 000 -LEADER |
|---|
| fixed length control field |
02118nam a22001937a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
221104b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781633695672 (hbk.) |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
658.0563 AGR |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Agrawal, Ajay |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Prediction machines : |
| Remainder of title |
the simple economics of artificial intelligence / |
| Statement of responsibility, etc. |
Ajay Agrawal; Joshua Gans and Avi Goldfarb |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Boston, Massachusetts : |
| Name of publisher, distributor, etc. |
Harvard Business Review Press, |
| Date of publication, distribution, etc. |
2018. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
x, 250 p. : |
| Other physical details |
ill. ; |
| Dimensions |
25 cm. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
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. -- Provided by publisher |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence Economic aspects. |
| -- |
Decision making Statistical methods. |
| -- |
Forecasting Statistical methods. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gans, Joshua -- author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Goldfarb, Avi -- author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Books |
