Govern Your Data. Trust Your AI.

Session 1: There's No Such Thing as AI Governance
AI governance gets treated like its own discipline. It isn't. Every AI governance challenge traces back to how well you govern your data: its quality, security, compliance and stewardship. This session reframes the conversation. Instead of asking "How do we govern AI?" start with "Are we governing our data?" Answer that well and AI governance follows.

What you'll take away:

• Why data governance is the foundation of effective AI governance
• How data quality, security, compliance and stewardship shape AI outcomes
• Common governance gaps organizations hit when scaling AI initiatives
• Practical ways to align data and AI governance strategies
• Steps to strengthen your governance framework and build trust in AI-driven decisions

Session 2: AI Readiness: Securing Your Environment for Copilot
Microsoft 365 Copilot honors your existing permissions. That's exactly the risk. Years of quiet oversharing, stale content and unlabeled data can surface in a single prompt once Copilot is live. This session covers the two places that risk lives: environment hygiene and AI data controls.

What you'll take away:

• How SharePoint Advanced Management finds and contains oversharing and cleans up redundant content
• How Microsoft Purview's DSPM, sensitivity labels and DLP give you visibility and enforcement over AI access
• A five-step readiness roadmap to get your data house in order before you turn Copilot loose on it

Whether you're a data leader, governance professional, or AI practitioner, this session will provide a fresh perspective on the critical role data governance plays in enabling responsible and successful AI adoption. 

Register today.