Snowflake has been busy this year, steadily defining its position in the AI infrastructure race. At their annual Summit today, the company laid out an interconnected vision for the future of enterprise AI: a secure, agent-driven platform that simplifies how users interact with data.
Highlighting their build philosophy: “Building powerful AI apps and agents at scale hinges on enterprises having access to not only high-quality and relevant internal and external data, but also the business semantics of that data, in order to deliver trusted AI results,” said Prasanna Krishnan, Head of Apps & Collaboration and Horizon, Snowflake.
Clearly, this focus on AI Agents isn’t a sudden pivot. Last year Baris Gultekin, Snowflake’s Head of AI wrote: “2025 is when we will start seeing the hype of agentic systems start to bear fruit, with the first set of high-value agentic use cases going into production.”
The highlight of this push is a suite of agentic AI innovations, including Snowflake Intelligence and Data Science Agent, alongside enhancements to its Marketplace ecosystem. These are just the latest in a string of strategic moves to establish Snowflake as an Agentic AI enabler: moves that also include key acquisitions such as Crunchy Data.


