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: How to scale GenAI in the workplace
  name:
    name part: Wade, Michael
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Trantopoulos, Konstantinos
    role:
      role term: author.
  name:
    name part: Navas, Mark
    role:
      role term: author.
  name:
    name part: Romare, Anders
    role:
      role term: author.
  name:
    name part: Safari, an O'Reilly Media Company
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: xx
    date issued: 2025
    copyright date: 2025
    edition: [First edition].
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (7 pages)
  abstract: Novo Nordisk's generative AI deployment to 20,000 employees has useful insights for companies working to scale their own AI efforts. Its leaders navigated three key challenges: a midcycle enthusiasm dip that can kill GenAI adoption, function-specific needs that demand tailored training, and cultural resistance. Novo Nordisk's solution combined champion networks, targeted enablement, and adaptive governance -- with senior employees serving as unexpected change agents.
  note: Michael Wade, Konstantinos Trantopoulos, Mark Navas, Anders Romare.
  note: Includes bibliographical references.
  subject:
    topic: Artificial intelligence
    topic: Business applications
  classification: HD45
  classification: 658.5/14
  related item:
    title info:
      title: Reprint ; #67121
    name:
      name part: Massachusetts Institute of Technology.
  related item:
    title info:
      title: MITSloan management review
  identifier: 53863MIT67121 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: ORMDA
    record creation date: 250925
    record change date: 20260123222303.0
    record identifier: in00005668187
    language of cataloging:
      language term: eng