As enterprise AI scales, Capital One and Snowflake focus on governance and trust
As AI adoption accelerates, organizations are rethinking how data is governed and shared at scale, with AI-driven data governance emerging as a key priority. New advances in automation and intelligent governance are making trusted data more accessible across the enterprise while reducing the complexity of managing it.
Financial services organizations rely on a vast network of partners and data-sharing relationships to support everything from marketing and customer service to transaction processing. As a result, secure and efficient data sharing has become a critical requirement for running core business operations, according to Christina Egea (pictured, right), senior vice president of product and enterprise data at Capital One Financial Corp.
“Data sharing is a critical part of our business and doing it securely is of the utmost priority,” Egea said. “We’ve had a great partnership with the Snowflake team leveraging their sharing capabilities that really put us in a spot to understand, at the most granular of levels, what data is going in and out of the company, how it’s being accessed.”
Egea and Prasanna Krishnan (left), head of Horizon Catalog and collaboration at Snowflake Inc., 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 AI-driven data governance and the growing importance of secure, policy-driven data sharing in highly regulated industries. (* Disclosure below.)
