Databricks launches broader data governance framework for AI
Databricks introduced a new framework for data governance that goes beyond just security controls. Their Data Empowerment Program focuses on knowledge, context, and clear definitions—arguing these are as crucial as access restrictions. They outline five pillars: data governance, AI/model governance, data literacy, data management, and shared ontology. The goal: make sure AI is built on high-trust data, not just locked-down data.
- New 'five pillars' approach emphasizes semantics
- Focuses on context, not just compliance controls
- Includes AI/model documentation and fairness standards
- Pushes for shared glossary and meaning via ontology
- Framework aims to support cheaper, trusted AI
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