Strong AI data foundations turn enterprise chaos into competitive advantage
Enterprises are learning that the race to AI-native operations is not won by deploying the most tools or agents — it is won by the organizations that build the most trusted AI data foundations underneath them.
As Snowflake’s agentic enterprise vision takes shape at its Summit 2026 conference in San Francisco, the practical lesson from customers doing the work is becoming clear: Ungoverned AI scales chaos faster than it scales value. Anahita Tafvizi (pictured, right), chief data and AI officer of Snowflake Inc., has been at the center of that lesson — running Snowflake’s own AI-native transformation as customer zero for every product the company ships.
“You want to go from data to insights to action,” Tafvizi said. “We spend a lot of our time making sure it’s well governed, well articulated, it’s accurate, it’s fresh. But now […] you can even have entire workflow automations […] the action is taken on your behalf as well.”
Tafvizi and Durgesh Das (left), vice president of data, analytics and governance at Intercontinental Exchange Inc. and the New York Stock Exchange, spoke with theCUBE’s Dave Vellante and Rebecca Knight at Snowflake Summit 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how strong AI data foundations accelerate enterprise AI deployments and how governance functions as an engine of innovation rather than a constraint. (* Disclosure below.)
