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: HBR guide to AI basics for managers
  title info:
    title: Harvard business review guide to AI basics for managers
  title info:
    title: AI basics for managers
  title info:
    title: Artificial intelligence basics for managers
  name:
    name part: EBSCOhost
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: mau
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  table of contents: Three Questions About AI That Every Employee Should Be Able to Answer : How does it work, what is it good at, and what should it never do? / by Emma Martinho-Truswell -- What Every Manager Should Know About Machine Learning : A non-technical primer / by Mike Yeomans -- The Three Types of AI : First, understand which technologies perform which types of tasks / by Thomas H. Davenport and Rajeev Ronanki -- AI Doesn't Have to Be Too Complicated or Expensive for Your Business : Focus on data quality, not quantity / by Andrew Ng -- How AI Fits into Your Data Science Team : Get over the cultural hurdles and avoid exaggerated claims / an interview with Hilary Mason -- Ramp Up Your Team's Predictive Analytics Skills : Three pitfalls your team needs to avoid / by Eric Siegel -- Assembling Your AI Operations Team : A top-notch model is no good if your people can't connect it to your existing systems / by Mark Esposito, Terence Tse, Takaai Mizuno, and Danny Goh -- How to Spot a Machine Learning Opportunity : What do you want to predict, and do you have the data? / by Kathryn Hume -- A Simple Tool for Making Decisions with AI : Use the AI Canvas / by Ajay Agrawal, Joshua Gans, and Avi Goldfarb -- How to Pick the Right Automation Project : Invest in the ones that will build your organization's capabilities / by Bhaskar Ghosh, Rajendra Prasad, and Gayathri Pallail -- Collaborative Intelligence : Humans and AI Are Joining Forces : They're enhancing each other's strengths / by H. James Wilson and Paul R. Daugherty -- How to Get Employees to Embrace AI : The sooner resisters get onboard, the sooner you will see results / by Brad Power -- A Better Way to Onboard AI : Understand it as a tool to assist people rather than replace them / by Boris Babic, Daniel L. Chen, Theodoros Evgeniou, and Anne-Laure Fayard -- Managing AI Decision-Making Tools : Humans still need to be involved : This framework will help you determine when and how / by Michael Ross and James Taylor -- Your Company's Al…
  note: Harvard Business Review.
  note: Includes index.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Management
    topic: Technological innovations
  subject:
    topic: Business enterprises
    topic: Information technology
    topic: Management
  subject:
    topic: Industrial management
  subject:
    topic: Success in business
  subject:
    topic: Artificial intelligence
  subject:
    topic: Industrial management
  subject:
    topic: Management
    topic: Technological innovations
  subject:
    topic: Success in business
  classification: HD30.2 .H37 2023
  classification: 658.4/038
  related item:
    title info:
      title: HBR guide to AI basics for managers
    origin info:
      publisher: Boston, Massachusetts : Harvard Business Review Press, [2023]
    identifier: (DLC) 2022030290
  related item:
    title info:
      title: Harvard business review guides
  identifier: 9781647824440
  identifier: 1647824443
  identifier: 9781647824433
  identifier: 2022030291
  identifier: 9781647824440 O'Reilly Media
  identifier: 5F9D8523-9978-4617-A69A-3D431E920700 OverDrive, Inc.
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 220723
    record change date: 20230406103012.6
    record identifier: in00004720339
    language of cataloging:
      language term: eng