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  <titleInfo>
    <title>HBR guide to generative AI for managers</title>
  </titleInfo>
  <name type="personal">
    <namePart>Farri, Elisa</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Rosani, Gabriele</namePart>
    <role>
      <roleTerm type="text">Author</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Boston, Massachusetts</placeTerm>
    </place>
    <publisher>Harvard Business Review Press</publisher>
    <dateIssued>c2025</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xiv, 262p.</extent>
  </physicalDescription>
  <abstract>The HBR Guide to Generative AI for Managers is packed with practical tips, prompts, and case studies to accelerate and improve countless aspects of your work. You'll learn how to:

Run smart experiments
Boost your productivity
Determine the right collaboration mode: a Co-Pilot or a Co-Thinker
Dialogue with AI for better decision-making
Be aware of the risks and avoid traps
Capitalize on your gen AI–enabled mindset</abstract>
  <note>Includes index.</note>
  <subject>
    <topic> Industrial management</topic>
  </subject>
  <subject>
    <topic>Technological innovations</topic>
  </subject>
  <subject>
    <topic>Management</topic>
  </subject>
  <classification authority="ddc">658.4038</classification>
  <identifier type="isbn">9798892790475</identifier>
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    <recordCreationDate encoding="marc">251017</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251017100125.0</recordChangeDate>
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