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Turn your data from liability to asset.

You have more data than ever before. And keeping it secure and compliant – while extracting valuable insights – is an increasingly complex task.

The executive’s guide to getting started with generative AI

Your 30-day quick start guide to cut through the noise and kickstart your organization’s generative AI journey.

Turn your data from liability to asset.


You have more data than ever before. And keeping it secure and compliant – while extracting valuable insights – is an increasingly complex task.

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days

hours

minutes

Proactive, automated data governance unlocks your data asset. So you can discover insights, drive innovation, and extract long-term ROI from your data.

Download this guide to learn 3 ways to achieve more proactive data governance:

  • Prioritize data quality to improve AI performance.
  • Turn non-technical users into data-driven decision makers.
  • Unify data and achieve compliance across architectures.

Generative AI opens up a new avenue, allowing people to think fundamentally differently about how business works. Whereas AI and ML were more about productivity and efficiency — doing things smarter and faster than before — now, it’s ‘I can do it completely differently than before’.

Carrie Tharp, VP Strategic Industries, Google Cloud

The more data you collect and analyze, the more security and governance matter.

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ALL DAY TRACKS

Day 1 Agenda

  • 8:30 AM–09:30 AM
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:20 AM–11:40 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:40 AM–12:40 PM
    Lunch
  • 12:40 PM–01:00 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:00 PM–01:20 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:20 PM–01:40 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:40 PM–02:40 PM
    Closing keynote: Lorem ipsum dolor sit
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  • 2:40 PM–03:40 PM
    Happy hour

Day 2 Agenda

  • 8:30 AM–09:30 AM
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:20 AM–11:40 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:40 AM–12:40 PM
    Lunch
  • 12:40 PM–01:00 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:00 PM–01:20 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:20 PM–01:40 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:40 PM–02:40 PM
    Closing keynote: Lorem ipsum dolor sit
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  • 2:40 PM–03:40 PM
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Day 3 Agenda

  • 8:30 AM–09:30 AM
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:20 AM–11:40 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:40 AM–12:40 PM
    Lunch
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    Speaker: Name, Title, Organization
  • 1:00 PM–01:20 PM
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  • 1:20 PM–01:40 PM
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  • 1:40 PM–02:40 PM
    Closing keynote: Lorem ipsum dolor sit
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  • 2:40 PM–03:40 PM
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Agenda

  • 8:30 AM–09:30 AM
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:20 AM–11:40 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:40 AM–12:40 PM
    Lunch
  • 12:40 PM–01:00 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:00 PM–01:20 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:20 PM–01:40 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:40 PM–02:40 PM
    Closing keynote: Lorem ipsum dolor sit
    Speaker: Name, Title, Organization
  • 2:40 PM–03:40 PM
    Happy hour

Track 1

Track 2

Track 3

  • 8:30 AM–09:30 AM
    Registrations
    Registrations
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ

Agenda

Track 1

Track 2

  • 8:30 AM–09:30 AM
    Registrations
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ

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