Modernizing Your Data Estate for Agentic AI Execution

Build a 5-layer architecture that validates, governs, and certifies data before any autonomous agent executes a process. 

Date & Time: Tuesday, July 28th, 2026 | 10:00am ET | 30 Minutes 

The Modernization Bottleneck: Many organizations move legacy workloads to the cloud to gain scale for AI, but moving “messy” data faster only creates faster AI failures. The gap isn’t in the model; it’s the missing Data Trust Layer required to resolve quality debt before execution.

Meet the Experts:

• Moderator: Jessie Smith, VP of Product Management, Ataccama
• Panelists:
  • Matt Harris (Snowflake): Principal AI Strategy Architect, Snowflake 
  • Jiri Zarsky (Deloitte): Lead Alliance Director, Deloitte 

Why It Matters:

Scaling AI without trust is a liability. This session provides a practical blueprint for turning data infrastructure into a reliable AI program. 

Transitioning safely from experimental pilots to scaled production requires an intentional approach to data trust. Tune in to this exclusive panel discussion to learn how industry pioneers are successfully modernizing their data estates, closing the trust gap, and building an automated framework that handles high-speed execution safely and reliably.