Trustworthy AI starts with trustworthy data. In this session, I’ll demonstrate how Microsoft Fabric provides a solid, compliant, and transparent foundation for building responsible AI solutions.
We’ll explore how to implement core data protection principles – such as purpose limitation, access control, data minimization, and auditability – using Fabric capabilities like sensitivity labels, data lineage, role-based access, metadata classification, and policy enforcement.
A special focus will be on Data Agents, Fabric’s new intelligent bridge between governed data and AI workloads. Learn approaches how to architect AI that are controllable, explainable, and regulation-ready – for organizations that take responsibility seriously.

Takeaways:
• Why Microsoft Fabric is a strong candidate for AI data governance
• How to ensure transparency, auditability, and accountability with Fabric tools
• Implementing data classification, lineage, and access control
• Actionable guidance for DPOs, compliance leads, architects, and risk officers