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.
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.
This session is based on our newly published framework guide, The modern AI stack: A blueprint for trusted agentic AI, developed in partnership with Snowflake and Deloitte. You can explore the 5-layer architecture diagrams and read the full e-book here:
Download The Modern AI Stack eBook
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.
Ready to bridge the trust gap in your AI roadmap? Register to join experts from Ataccama, Snowflake, and Deloitte for this 30-minute framework deep dive.
