000 02834cam a2200349 i 4500
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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