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  <titleInfo>
    <title>Applied artificial intelligence</title>
    <subTitle>: a handbook for business leaders</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Yao, Mariya</namePart>
    <role>
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  <name type="personal">
    <namePart>Jia, Marlene</namePart>
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  <name type="personal">
    <namePart>Zhou, Adelyn</namePart>
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  <name type="personal">
    <namePart>Zhang, Natalia</namePart>
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    <dateIssued encoding="marc">2018</dateIssued>
    <copyrightDate encoding="marc">2018</copyrightDate>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>227 pages : illustrations ; 22 cm</extent>
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  <abstract>“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.</abstract>
  <tableOfContents>Who 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.</tableOfContents>
  <note type="statement of responsibility">/ [Mariya Yao, Marlene Jia, Adelyn Zhou ; edited by Natalia Zhang]</note>
  <note>Includes bibliographical references.</note>
  <subject authority="lcsh">
    <topic>Artificial Intelligence</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial Intelligence</topic>
    <topic>Ethics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic> Management</topic>
    <topic> Data processing</topic>
  </subject>
  <classification authority="lcc">HF5548.2 .Y36 2018</classification>
  <identifier type="isbn">9780998289021</identifier>
  <identifier type="isbn">0998289027</identifier>
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