Unlock the transformative power of AI/ML in Retail

Download a complimentary copy of Google Cloud’s research based insights on top AI/ML implementation cases for Retail and how these technologies can help you build resilience in a “new” normal.

Benefit from new research based insights and build resilience for your business

As the longer-term impact of COVID-19 reshapes the retail landscape, hundreds of operational decisions need to be made even more rapidly across the value chain, and retailers will have to take advantage of new tools and business models to become more efficient and less exposed to future shocks.

The next ‘normal’ in retail will undoubtedly be digital, and it will increasingly be shaped by the adoption of the best tools for such complex decisions: artificial intelligence and machine learning technologies (AI/ML).

Google Cloud recently commissioned research including an online global survey of retailers and expert interviews to understand:

  • High value AI/ML use cases for Food, Drug, Mass merchant and Speciality retailers and the potential impact they can have on the business
  • Retailer experiences with implementing AI/ML including top enablers and barriers to success
  • Real world success stories of retailers adopting AI/ML
To read findings from this research and get ideas for business transformation and success in the “new” normal, download your complimentary copy today.
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Agenda

  • 8:30 AM–9:30 AM
    Registrations
  • 9:30 AM–9:40 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–1:20 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:20 PM–1:40 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:40 PM–2:40 PM
    Closing keynote: Lorem ipsum dolor sit
    Speaker: Name, Title, Organization
  • 2:40 PM–3:40 PM
    Happy hour

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

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

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
    Speaker: Name, Title, Organization
  • 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
    Speaker: Name, Title, Organization
  • 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
    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

Speakers

Firstname Lastname

Developer Advocate of Machine Learning,

Google Cloud

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Nulla quis lorem ut libero malesuada feugiat. Proin eget tortor risus. Praesent sapien massa, convallis a pellentesque nec, egestas non nisi. Curabitur non nulla sit amet nisl tempus convallis quis ac lectus. Vivamus suscipit tortor eget felis porttitor volutpat.Curabitur non nulla sit amet nisl tempus convallis quis ac lectus. Mauris blandit aliquet elit, eget tincidunt nibh pulvinar.

Nulla quis lorem ut libero malesuada feugiat. Proin eget tortor risus. Praesent sapien massa, convallis a pellentesque nec, egestas non nisi. Curabitur non nulla sit amet nisl tempus convallis quis ac lectus. Vivamus suscipit tortor eget felis porttitor volutpat.Curabitur non nulla sit amet nisl tempus convallis quis ac lectus. Mauris blandit aliquet elit, eget tincidunt nibh pulvinar.

Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

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