02728cam a2200325 i 450000100090000000300060000900500170001500800410003202000310007302000280010403500170013204000960014905000240024510000260026924501410029526400410043626400110047730000400048833700280052850400410055650507720059752008200136965000280218965000370221765000300225465000350228470000270231970000270234670000290237310100130CaAEU20260512150343.0180913t20182018deua     b    000 0 eng d  a9780998289021q(paperback)  a0998289027q(paperback)  aon1052464407  aHNCbengerdacHNCdOCLCOdHNCdOCLCFdTFWdZ8RdUPPdPJWdHRMdOCLdYDXdOCLCQdOCLCOdOCL 4aHF5548.2b.Y36 2018  aYao, Mariya,eauthor.10aApplied artificial intelligence b: a handbook for business leaders c/ [Mariya Yao, Marlene Jia, Adelyn Zhou ; edited by Natalia Zhang] 1a[Middletown, DE] :bTOPBOTS,c[2018] 4c©2018  a227 pages :billustrations ;c22 cm  aunmediatedbn2rdamedia  aIncludes bibliographical references.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.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. 0aArtificial Intelligence 0aArtificial IntelligencexEthics. 0aBusinessxData processing 0a Management x Data processing  aJia, Marlene,eauthor.  aZhou, Adelyn,eauthor.  aZhang, Natalia,eeditor.