Closing AI Data Compliance Gaps in Microsoft Fabric
Description
AI workloads on Microsoft Fabric require faster and broader access to enterprise data, increasing data privacy and compliance risk. This session explores privacy-first Fabric architectures that embed governance and security into analytics and AI workflows, ensuring data quality, performance, and reliable AI outcomes while supporting scalable, governed self-service analytics.
Key Takeaways
- This session explores privacy-first Fabric architectures that embed governance and security into analytics and AI workflows, ensuring data quality, performance, and reliable AI outcomes while supporting scalable, governed self-service analytics
- AI workloads on Microsoft Fabric require faster and broader access to enterprise data, increasing data privacy and compliance risk
- Feature-oriented — focuses on capabilities and live demos
My Notes
Action Items
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