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Snowflake Pivots to Agentic AI With Snowflake Intelligence, Emphasizing Governance

The company cites a trusted data layer plus 2025 gains to argue it can scale safe, explainable enterprise AI.

Overview

  • Snowflake introduced Snowflake Intelligence to let employees ask natural‑language questions and receive verified answers grounded in governed enterprise data.
  • The release adds Cortex AISQL for multimodal AI directly in SQL, modular machine‑learning workflows, and one‑click deployment of Hugging Face models.
  • An internal prototype agent called Raven is already assisting sales staff with context‑aware retrieval and real‑time support.
  • Snowflake says early customers including Toyota Motor Europe, Wolfspeed, and Fanatics are seeing faster development cycles, quicker failure analysis, and sharper audience targeting.
  • CEO Shridhar Ramaswamy underscores governance as Snowflake’s edge as the company reports $942.1 million in 2025 revenue and an estimated 18.33% market share, while analysts question openness, multi‑cloud flexibility, and cost predictability against rivals from Microsoft, Google, Databricks, and Amazon.