Rob Saker

Retail & CPG GTM Lead, Databricks

As the Global Industry Leader for Retail & CPG at Databricks, Rob Saker brings a wealth of industry knowledge to Databricks. A former CDO, Rob has successfully led data and analytic transformations at retail and CPG firms including MIllerCoors, ConAgra and Crossmark. Rob meets regularly with executives across the industry to share trends and help develop strategies on how to best use data and AI to accelerate business value.

Past sessions

The recent pandemic has accelerated the adoption of digital services and e-commerce by 10 years in 10 weeks. Companies have seen a surge in market share from new customers in digital channels. As we navigate through COVID and economic recovery, companies that are able to engage their customers in a relevant, meaningful way will realize stronger growth rates.

To power real-time hyper-personalized experiences, organizations need to be armed with a unified approach to data and analytics to rethink their ways of understanding and acting on the consumer. Personalized engagement, when done properly, can drive higher revenues, marketing efficiency and customer retention. Through the use of big data, machine learning and AI, companies can refocus their efforts on areas that will rapidly deliver value and drive growth into the future. Join us for a discussion on best practices and real-world uses for data analytics and machine learning in the Retail and Consumer Goods industry.


  • Patrick Baginski, Head of Data & Analytics, McDonalds
  • Tom Mulder, Lead Data Scientist, Wehkamp
  • Josh Osmon, VP, Product Management, Everseen

Speaker: Rob Saker

Summit 2020 Retail and Consumer Packaged Goods Industry Forum

June 24, 2020 05:00 PM PT

Join us for an interactive Retail and CPG Forum at Spark + AI Summit. In this free virtual event, you will have the opportunity to network with your peers and participate in engaging panel discussions with industry leaders on how data and machine learning are driving innovation across the entire retail value chain.