In this session from the Databricks Data + AI Summit 2026, Roz King, Chief Architect at LakeFusion, explores how Master Data Management and ontology come together to power a new architecture for enterprise data intelligence.
As organizations push to unify fragmented data and make it AI-ready, traditional MDM approaches alone aren't enough. Roz breaks down how pairing MDM with graph-based ontology creates a more flexible, intelligent foundation one built natively on Databricks — for connecting, contextualizing, and activating enterprise data at scale.
Topics covered:
- Why ontology is the missing layer in traditional MDM
- Building a Databricks-native architecture for data intelligence
- How graph relationships enhance master data quality and context
- Practical implications for enterprise data teams
Recorded live at Databricks Data + AI Summit 2026, San Francisco
Learn more about LakeFusion: https://www.lakefusion.ai/
Follow LakeFusion on LinkedIn: https://www.linkedin.com/company/lake-fusion
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