Automotive and manufacturing leaders face the same dual pressure: modernize aging data platforms while becoming AI-ready. In this fireside chat, ZF - a Tier-1 automotive supplier - shares how its QAIMS and Aftermarket teams moved from a traditional warehouse-and-reports model to a lakehouse platform on AWS, from BI ready data to AI ready data,  including the organizational shifts, migration sequencing, and change management that made progress possible without freezing the business.

Join ZF practitioners and Databricks for a candid discussion on what it takes to migrate from Microsoft SQL Server to Databricks, stand up self-service analytics with Databricks SQL as the warehouse of record, and close the gap between BI-ready and AI-ready data. Attendees leave with practical lessons on platform ownership, cutover strategy, and building the foundations for AI enablement in a complex industrial environment.