Snowflake rolls out new capabilities to fast-track enterprise AI from pilots to production

Snowflake has announced a raft of new product innovations aimed at helping enterprises move data and AI initiatives out of experimentation mode and into full-scale production more quickly. The updates are designed to simplify development, improve interoperability and ensure AI systems operate on trusted, governed enterprise data.

At the centre of the announcement is the general availability of Cortex Code, a data-native AI coding agent built to automate and accelerate enterprise development end to end. Unlike generic coding assistants, Cortex Code is designed to understand an organisation’s Snowflake data environment, including governance rules, compute usage and operational semantics, allowing teams to build pipelines, analytics and AI applications faster without compromising security or trust.

Snowflake has also made Semantic View Autopilot generally available. The AI-powered service automates the creation, optimisation and ongoing governance of semantic views, giving AI agents a consistent and shared understanding of business metrics ...