Organizations adopting AI often find that poor data quality, unclear ownership, and missing lineage can derail progress. this session will share insights from real-world projects where AI success depended on strong data foundations. They will discuss invisible data defects that skew model outcomes and practical techniques to enhance trust and usability. Attendees will gain actionable takeaways and questions to bring back to their teams for reliable, scalable impact.

Chief Data Officer, Deloitte Government & Public Services

Technology Fellow, Deloitte Consulting, LLC