Ericsson and Snowflake chart an enterprise AI data strategy
Enterprise AI data strategy is separating the organizations that execute on AI from those that aspire to it, and the difference boils down to whether the data foundation was built before the AI was deployed.
It’s a valuable lesson that resides at the heart of a deepening partnership between Ericsson and Snowflake, according to Elena Fersman (pictured, right), vice president and head of AI innovation and incubation at Ericsson at Telefonaktiebolaget LM Ericsson publ. The company has spent nearly two decades building toward what Fersman describes as an “AI-ification” of its portfolio, a transformation from a 150-year-old radio hardware company into an AI-native enterprise. Ericsson’s new foundation is building on the principle that unified data access must precede any meaningful AI deployment.
“If you have your very good data exposed, then you can apply all your beautiful AI algorithms,” Fersman said. “If you don’t have your data in order in some kind of unified way, you will never be able to adopt your best AI algorithms.”
Fersman and Christian Kleinerman (pictured, left), executive vice president of product at Snowflake Inc., spoke with theCUBE’s Dave Vellante and Rebecca Knight at the Snowflake Summit 2026 during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. The discussion centered on how Ericsson is embedding AI into its network operations and customer-facing portfolio, how Snowflake’s CoWork and CoCo products serve different user personas, and why governance is now an accelerant instead of a constraint in enterprise AI data strategy. (*Disclosure below.)
