In the agentic era, AI systems don’t just process data — they act on it, autonomously, with real-world consequences. A flawed customer profile routes a deal to the wrong rep. A miscalculated signal triggers a supplier cancellation. Bad data no longer just produces bad reports; it drives bad decisions at machine speed. 
 
Governing data quality, integrity, and compliance is essential, but t’s not enough. Agentic enterprises must also govern how agents are built, what data they trust and how they’re guided to make the right calls. That means lineage, policy enforcement, master data and privacy controls working together as a system, not as separate tools bolted onto an AI initiative. 
 
Discover a governance framework built for agents and walk away with a practical blueprint for deploying AI you can actually trust. 

Speaker: Helen Kinsella 

Helen is a distinguished community of practice director for data governance and quality, boasting over two decades of experience in track and tackling and resolving data challenges across various industries. Her vast experience covers multiple sectors where she has consistently assisted clients in overcoming data governance obstacles and achieving their data quality goals. Her position as a community of practice director underscores her commitment to creating a collaborative environment where best practices and innovative strategies are shared and implemented. 

Website: https://www.informatica.com/