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Snowflake Unveils New AI Tools To Drive Faster Enterprise Adoption

By Anusuya Lahiri | February 03, 2026, 4:54 AM

Snowflake Inc. (NYSE:SNOW) has rolled out a broad set of product upgrades on Tuesday designed to help enterprises move from AI experimentation to production, making data AI-ready by design across its platform. The company is positioning the latest releases to bring transactional, analytical, and AI workloads together so businesses can deploy data-driven AI applications at scale.

Snowflake Postgres Unifies Data for AI Workloads

At the center of the update is Snowflake Postgres, which integrates operational, analytical, and AI data management into a single platform. By supporting full compatibility with open-source Postgres, Snowflake Postgres allows organizations to migrate existing applications without disruption while running mission-critical apps and AI agents on the most current operational data. The goal is to eliminate data silos and reduce the need for complex data pipelines that slow development.

Cortex Code and Semantic View Autopilot

Snowflake also introduced Cortex Code, an AI-powered coding agent that automates the creation of data pipelines, AI applications, and analytics. Operating directly inside an enterprise's data environment, it provides secure, context-aware assistance while preserving governance controls, reducing manual coding, and speeding up development.

To address inconsistent business logic, Snowflake launched Semantic View Autopilot, which automates the creation and maintenance of governed semantic views. The tool is designed to ensure AI agents use consistent, trusted business metrics, helping minimize errors and shorten time to market.

OpenAI Partnership and Analyst View

Snowflake also announced a $200 million, multi-year partnership with OpenAI to co-develop enterprise AI solutions. OpenAI models, including GPT-5.2, will be natively integrated into Snowflake's Cortex AI, giving 12,600 global customers access across major cloud platforms.

Bank of America analyst Koji Ikeda reiterated a Buy rating but cut his price forecast to $275 from $310, citing shifting growth expectations while noting strong product revenue tied to rising AI adoption. He warned of competition from hyperscalers and Databricks, and said Snowflake's reliance on hyperscaler infrastructure could be a long-term risk.

SNOW Price Action: Snowflake shares were up 1.16% at $192.89 during premarket trading on Tuesday, according to Benzinga Pro data.

Photo by JHVEPhoto via Shutterstock

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