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 superstream
    sub title: AI agents
  name:
    name part: Barth, Antje
    role:
      role term: author.
  name:
    name part: Soares, Lucas
    role:
      role term: author.
  name:
    name part: Debois, Patrick
    role:
      role term: author.
  name:
    name part: Kipkemboi, Tony
    role:
      role term: author.
  name:
    name part: Hallenbeck, Chris
    role:
      role term: author.
  name:
    name part: Staples, Erin Mikail
    role:
      role term: author.
  name:
    name part: Fregly, Chris
    role:
      role term: author.
  name:
    name part: Queiroz, Gabriela de
    role:
      role term: author.
  name:
    name part: Safari, an O'Reilly Media Company
  name:
    name part: O'Reilly (Firm)
    role:
      role term: publisher.
  type of resource: moving image
  genre: videorecording
  genre: Instructional films.
  genre: Nonfiction films.
  genre: Internet videos.
  genre: Films de formation.
  genre: Films autres que de fiction.
  genre: Vidéos sur Internet.
  origin info:
    place:
      place term: cau
    date issued: 2025
    edition: [First edition].
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (03 hr., 47 min.)) : sound, color.
  abstract: AI agents are changing the landscape of intelligent automation, transforming the way organizations optimize processes and drive innovation across industries. Today's AI agents are capable of analyzing complex problems, breaking down challenging tasks, and optimizing systems with a higher degree of autonomy. Emerging standards like the Model Context Protocol (MCP) simplify integration with diverse data sources, while advancements in multi-agent systems, multimodal action models, and high-performance inference engines are gradually reshaping development processes and the solutions we create. Join us to discover practical strategies for building and implementing agentic AI systems that redefine how we interact with technology. Whether you're integrating AI agents into existing operations or developing entirely new solutions for the digital age, this event will equip you with the insights, tools, and strategies to stay ahead.
  note: Antje Barth, Lucas Soares, Patrick Debois, Tony Kipkemboi, Chris Hallenbeck, Erin Mikail Staples, Chris Fregly, Gabriela de Queiroz.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Intelligence artificielle
  subject:
    topic: artificial intelligence
  classification: TA347.A78
  classification: 006.3
  identifier: 0642572015960 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: ORMDA
    record creation date: 250624
    record change date: 20260123224259.6
    record identifier: in00005651027
    language of cataloging:
      language term: eng