In this session, we'll dig into what it actually takes to close that gap: how governed, quality-scored data changes what an AI agent can safely do; why associative, in-memory analysis surfaces context and exceptions that query-based approaches miss; and how enterprise access controls can survive the move from dashboards to autonomous agents. Attendees will leave with a practical framework for evaluating whether their own AI/agentic initiatives are standing on a trustworthy data foundation — and where the biggest blind spots tend to hide.