Driving AI Accountability Through Robust Data Governance

This session explores how to embed data governance into the AI lifecycle—from sourcing and quality to bias mitigation and explainability. We will learn how to align governance with innovation, reduce risk, and build systems that are transparent, ethical, and scalable.

3 Key Takeaways

• What Accountable AI Really Means
• Governance in the AI Lifecycle
• Actionable Governance Strategies

Meet your presenter...

Aadi Machandi has 16+ years in Data & AI, I help organizations unlock the value of data—driving decisions, building trust in AI, and embedding intelligence into the business. As a CDO and ex-Microsoft architect, I focus on turning data into a strategic asset for growth, innovation, and resilience.