rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: AI adoption in the enterprise 2022
  title info:
    title: Artificial intelligence adoption in the enterprise 2022
  name:
    name part: Loukides, Michael Kosta
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  origin info:
    place:
      place term: cau
    date issued: 2022
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (26 pages) : illustrations
  abstract: The AI hype is winding down, so where are we now? How far along are most companies in terms of AI adoption? Do they have working applications in production? What tools are they using? What are the biggest bottlenecks? How much has changed since last year, and what does that tell us about the future of AI? If you're curious about the state of AI today, or just want to see how your organization compares to others, check out this new O'Reilly report.
  note: by Mike Loukides.
  subject:
    topic: Artificial intelligence
    topic: Industrial applications
  subject:
    topic: Intelligence artificielle
    topic: Applications industrielles
  subject:
    topic: Artificial intelligence
    topic: Industrial applications
  classification: TA347.A78
  classification: 006.3
  identifier: 9781098133627
  identifier: 1098133625
  identifier: 9781098133627 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: ORMDA
    record creation date: 220405
    record change date: 20260128223355.9
    record identifier: in00004670840
    language of cataloging:
      language term: eng