Building your vision, delivering success

Databricks Customer Exchange

On Demand

VIRTUAL EVENT

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Featured Customers:

The Databricks Customer Exchange is a dedicated event, for Databricks customers only, where you can hear how other customers are leveraging Databricks for success.

 

Our previous events featured success stories from TotalEnergies, Adidas Runtastic, Immowelt, Schneider Electric, Skyscanner, Inditex, AXA IM, GSK, Greenflex, Octopus Energy and Huuuge Games and we look forward to welcoming you to the latest Customer Exchange in October featuring an exciting lineup of topics and speakers.


In this session, we’ll explore how the Databricks Lakehouse Platform continues to adapt, helping our customers overcome their main data challenges. In addition, we’ll look at how Customer Success can help you in every step of your journey to enable you to overperform in your market and innovate faster. We’ve also invited customers to share their best practices.


Don’t miss this opportunity to hear from our Customer Success team, gain insights from our customers’ success stories, and submit questions to your peers and a team of Databricks experts. 

 

Agenda (time in BST):

 

9:00 AM: Welcome and Company update

9.10 AM: The benefits of Unity Catalog for customers

9:30 AM: Corporate Data Lake: How Michelin is putting data at the heart of its organisation?

9:50 AM: Architecting MLOps in the Lakehouse

10:10 AM: How Ahold Delhaize is leveraging Databricks to promote MLOps?

10:30 AM: How Hiscox is creating a claims data hub in Databricks?

10:50 AM: Q&A & Wrap-up

Speakers

Saravjeet Chaggar

Corporate Data Lake

Team Leader

MICHELIN

 

Jean-François Duteyrat

Corporate Data Lake

Delivery Leader

MICHELIN

Basak Eskili

Machine Learning Engineer

AHOLD DELHAIZE

Mike Reeve

Technical Product Owner

Claims Data & Analytics

HISCOX

Nilanga Fernando

Senior Director,

Customer Success

DATABRICKS

 

Matthew Thomson

Director,

EMEA Product Specialists

DATABRICKS

Gagandeep Chawla

Manager,

Professional Services

DATABRICKS

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