Snowflake manager explains the 'Spider-Man' theory of AI agent data access

Snowflake is betting that the biggest bottleneck to building more and better AI agents isn't the models themselves but whether the data those agents depend on is clean, accessible, and governed, Snowflake’s director of product management James Rowland-Jones told The Register.

He said that the data analytics company is doubling down on open standards to solve that problem.

Fresh off the Apache Iceberg Summit this week, Rowland-Jones said that Snowflake is working toward "a complete interoperable stack" built around the Apache Iceberg open table format.

“You have essentially data-powered AI platforms and AI powered data platforms,” he said. “But in order for this to work in an AI era, you need to be able to have a set of data that you can get to very easily and accessibly. And that's where the interoperability story really begins because more and more you need to have a single ...