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  <titleInfo>
    <title>Beyond algorithms</title>
    <subTitle>delivering AI for business</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Luke, James</namePart>
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  <name type="personal">
    <namePart>Porter, David</namePart>
    <namePart type="termsOfAddress">(Data architect)</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Santhanam, Padmanabhan</namePart>
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    </role>
  </name>
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    <place>
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    </place>
    <dateIssued encoding="marc">2022</dateIssued>
    <edition>First edition.</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
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    <extent>xiv, 286 pages ; 25 cm.</extent>
  </physicalDescription>
  <abstract>"When applying AI in an enterprise, there are many challenges. The available content (data) volumes are much lower and the analysis tasks for AI are often more complex. Considerable expertise is required to understand the available data, relevant domain context, and the appropriate AI algorithms to support business-critical tasks. Beyond Algorithms: Delivering AI for Business will help business users and AI practitioners to identify good AI projects and ensure those projects are successfully delivered to support their business goals. From the collective knowledge of three of IBM's most experienced engineers, you can learn how to define, manage, engineer and deliver AI projects that work"--</abstract>
  <tableOfContents>Prologue -- Why this book? -- Building applications -- It's not just algorithms, really! -- Know where to start-select the right project -- Business value &amp; impact -- Ensuring it works; how do you know? -- It's all about data -- How hard can it be? -- Getting your priorities right -- Some (not so) boring stuff -- The future -- Epilogue.</tableOfContents>
  <note type="statement of responsibility">James Luke, David Porter, and Padmanabhan Santhanam.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Business</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
    <topic>Industrial applications</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Electronic data processing</topic>
    <topic>Management</topic>
  </subject>
  <classification authority="lcc">HF5548.2 .L843 2022</classification>
  <classification authority="ddc" edition="23/eng/20220110">658.05 L969b</classification>
  <identifier type="isbn">9780367613266</identifier>
  <identifier type="lccn">2021056146</identifier>
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