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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.

Gen AI and business performance. The results are in.

Across the retail and CPG sector, 75% of executives that use gen AI in production are currently seeing ROI on at least one use case.

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In Retail and CPG, early adopters of gen AI are reaping the rewards.

This is just one of the insights in our new report, The ROI of Gen AI in Retail and CPG. Based on a global survey of 376 senior leaders, the report benchmarks the impact of gen AI on business performance within the industry.

Discover how global enterprises are already seeing significant gains in annual revenue, ROI, and more–and use the insights as a benchmark for your own gen AI journey.

Key insights include:

  • Pace of adoption: 66% of retail and CPG executives have already moved gen AI use cases into production.
  • Annual revenue increase: 87% of those running gen AI in production report revenue gains of 6% or more.
  • Time to market: 89% of retail and CPG organizations successfully transform a gen AI use case idea into production within six months.

Get your copy to understand how your peers are maximizing the potential of gen AI.


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

It gives guests control to choose what they want in the way that works best for them. Theoretically, we think it’s going to make a huge impact on our business.’’

Natalie Bowman, Managing Director, Product & Digital Experiences, Alaska Airlines
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ALL DAY TRACKS

Day 1 Agenda

  • 8:30 AM–09:30 AM
    Registrations
  • 9:30 AM–09:40 AM
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    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
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  • 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
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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
    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
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  • 11:40 AM–12:40 PM
    Lunch
  • 12:40 PM–01:00 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
    Happy hour

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
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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
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  • 11:40 AM–12:40 PM
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  • 1:40 PM–02:40 PM
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  • 2:40 PM–03:40 PM
    Happy hour

Track 1

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  • 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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