| 000 | 02834cam a2200349 i 4500 | ||
|---|---|---|---|
| 001 | 10100130 | ||
| 003 | CaAEU | ||
| 005 | 20260512150343.0 | ||
| 008 | 180913t20182018deua b 000 0 eng d | ||
| 020 |
_a9780998289021 _q(paperback) |
||
| 020 |
_a0998289027 _q(paperback) |
||
| 035 | _aon1052464407 | ||
| 040 |
_aHNC _beng _erda _cHNC _dOCLCO _dHNC _dOCLCF _dTFW _dZ8R _dUPP _dPJW _dHRM _dOCL _dYDX _dOCLCQ _dOCLCO _dOCL |
||
| 050 | 4 |
_aHF5548.2 _b.Y36 2018 |
|
| 100 |
_aYao, Mariya, _eauthor. _925907 |
||
| 245 | 1 | 0 |
_aApplied artificial intelligence _b: a handbook for business leaders _c/ [Mariya Yao, Marlene Jia, Adelyn Zhou ; edited by Natalia Zhang] |
| 264 | 1 |
_a[Middletown, DE] : _bTOPBOTS, _c[2018] |
|
| 264 | 4 | _c©2018 | |
| 300 |
_a227 pages : _billustrations ; _c22 cm |
||
| 337 |
_aunmediated _bn _2rdamedia |
||
| 504 | _aIncludes bibliographical references. | ||
| 505 | 0 | _aWho this book is for — What business leaders need to know — Basic terminology in artificial intelligence — The machine intelligence continuum — The promises of artificial intelligence — The challenges of artificial intelligence — Designing safe and ethical AI — How to develop an enterprise AI strategy — Build an AI-ready culture — Invest in technical talent — Plan your implementation — Collect and prepare data — Build machine learning models — Experiment and iterate — AI for enterprise functions — Obstacles and opportunities — General and administrative — Human resources and talent — Business intelligence and analytics — Software development — Marketing — Sales — Customer support — The ethics of enterprise AI. | |
| 520 | 3 | _a“Artificial intelligence” is everywhere in the media, often portrayed either as a threat to jobs or as a solution to all human problems. But what does it really mean for business leaders? Applied Artificial Intelligence is a practical guide that shows how to harness machine learning to improve productivity and drive innovation. Rather than technical detail or speculation, it focuses on leading successful AI initiatives: choosing the right opportunities, building effective teams, running strategic experiments, and designing solutions that benefit both organisations and society. Drawing on the expertise of three specialists, this book provides clear answers to key questions about AI adoption, from identifying valuable use cases and recruiting talent to deciding whether to build or buy an AI platform. | |
| 650 | 0 |
_aArtificial Intelligence _914147 |
|
| 650 | 0 |
_aArtificial Intelligence _xEthics. |
|
| 650 | 0 |
_aBusiness _xData processing _97722 |
|
| 650 | 0 |
_a Management _x Data processing _911041 |
|
| 700 |
_aJia, Marlene, _eauthor. _925908 |
||
| 700 |
_aZhou, Adelyn, _eauthor. _925909 |
||
| 700 |
_aZhang, Natalia, _eeditor. _925910 |
||
| 942 | _2lcc | ||
| 999 |
_c4958 _d4958 |
||