The shift from guarded, siloed data access to fully agentic, end‑to‑end AI workflows is forcing enterprises to rethink how accuracy, access control, and security must operate when anyone can query sensitive information through natural language.

In this episode, Anahita Tafvizi, Chief Data & AI Officer at Snowflake, joins Daniel Faggella, Emerj CEO and Head of Research, to examine how robust governance, role‑based access control, and embedded data teams enable trustworthy AI agents that automate high‑value workflows across finance, sales, HR, and other regulated functions.

The discussion highlights practical decisions around securing new points of entry, standardizing metrics, and designing repeatable agentic workflows that move enterprises from systems of record to systems of action.

To listen to the conversations other infrastructure and AI leaders in the Fortune 500 are tuned into, subscribe to the AI infrastructure podcast at emerj.com/inf1