000 | 01468nam a22001937a 4500 | ||
---|---|---|---|
005 | 20240219174424.0 | ||
008 | 240219b |||||||| |||| 00| 0 eng d | ||
020 | _a9781647824433 | ||
082 |
_a658.4038 _bHAR |
||
245 | _aHBR guide to AI basics for managers | ||
260 |
_bHarvard Business Review Press _aBoston _c2023 |
||
300 | _axiii, 252 p. | ||
365 |
_aINR _b699.00 |
||
520 | _aFrom 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. 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. You'll learn how to: Understand key AI terms and concepts Recognize which of your projects would benefit from AI Work more effectively with your data team Hire the right AI vendors and consultants Deal with ethical risks before they arise Scale AI across your organization (https://store.hbr.org/product/hbr-guide-to-ai-basics-for-managers/10586) | ||
650 |
_aArtificial intelligence _913180 |
||
650 |
_aManagement--Technological innovations _916144 |
||
700 |
_aHarvard Business Review Press _914432 |
||
942 |
_cBK _2ddc |
||
999 |
_c6180 _d6180 |