HBR guide to AI basics for managers (Record no. 6180)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01468nam a22001937a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240219174424.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240219b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781647824433 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 658.4038 |
| Item number | HAR |
| 245 ## - TITLE STATEMENT | |
| Title | HBR guide to AI basics for managers |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Harvard Business Review Press |
| Place of publication, distribution, etc. | Boston |
| Date of publication, distribution, etc. | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiii, 252 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 699.00 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | From financial modeling and product design to performance management and hiring decisions, AI and machine learning are becoming everyday tools for managers at businesses of all sizes. But AI systems come with benefits and downsides--and if you can't make sense of them, you're not going to make the right decisions.<br/><br/>Whether you need to get up to speed quickly or need a refresher, or you're working with an AI expert for the first time, the HBR Guide to AI Basics for Managers will give you the information and skills you need to succeed.<br/><br/>You'll learn how to:<br/><br/>Understand key AI terms and concepts<br/>Recognize which of your projects would benefit from AI<br/>Work more effectively with your data team<br/>Hire the right AI vendors and consultants<br/>Deal with ethical risks before they arise<br/>Scale AI across your organization<br/><br/>(https://store.hbr.org/product/hbr-guide-to-ai-basics-for-managers/10586) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Management--Technological innovations |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Harvard Business Review Press |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | IT & Decisions Sciences | SBHPL/INV/1162/2023-2024 | 27-01-2024 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 02/19/2024 | Sarat Book House Pvt. Ltd. | 485.81 | 658.4038 HAR | 005975 | 02/19/2024 | 1 | 699.00 | 02/19/2024 | Book |