Snowflake’s new AI tools target a marketing pain point

At this week’s Snowflake Summit ’26, Snowflake made a pitch to be what it calls a “System of Intelligence” for the enterprise. One where AI agents, governance, customer data, and business operations all work together without constantly moving data from one system to another.

For marketers, the takeaway was simple: Bring AI to the data, not the data to AI.

AI gets closer to the data

One of the biggest themes was Snowflake’s push into agentic AI. The company rebranded several AI offerings and introduced CoWork and CoCo as building blocks for creating and deploying AI-powered workflows.

Snowflake also launched Cortex Sense, a context layer designed to help AI systems understand company-specific language, processes, and business rules. The idea is to give agents enough operational context to produce more reliable answers and fewer hallucinations.

For marketing teams, that could mean AI tools that understand campaign structures, audience definitions, product catalogs, and internal performance metrics without constant hand-holding.

Claude comes to Snowflake

Snowflake also expanded its partnership with Anthropic, bringing Claude models directly into Snowflake. That means marketers can analyze customer data, generate content, explore trends, and run more complex analyses without exporting sensitive data to another platform.

That matters as companies get more cautious about where customer data goes. Snowflake is leaning into a broader enterprise AI trend: keep the data governed, and bring the models to it.

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Breaking down data silos

The company also made several moves to reduce data silos. Cortex Agent Sharing lets organizations securely share AI agents across Snowflake accounts. A brand, for example, could give an agency access to an AI-powered audience analysis agent without exposing the underlying customer data.

Snowflake also expanded support for Apache Iceberg and open data architectures. For marketers, the practical benefit is clear. Customer data lives in many places, and teams need ways to work from a single, governed source of truth without endlessly copying datasets.

Governance becomes conversational

Governance also got a more conversational treatment. Updates to Horizon Catalog let users define access and privacy rules in plain English, which Snowflake then turns into enforceable policies across data, AI tools, and agents.

That could become important fast. As AI moves into customer-facing workflows, governance is no longer a back-office concern. Marketing and data teams need ways to control access, protect privacy, and keep AI systems inside approved rules without slowing everything down.

The takeaway for marketers

The biggest announcement was not one specific model, agent, or feature. It was Snowflake’s view of how enterprise AI should work.

Instead of sending customer data into separate AI platforms, Snowflake is betting that companies will want AI, analytics, governance, and activation to happen where the data already lives. For marketers, that could mean less time stitching tools together and more time using AI across customer journeys with privacy, governance, and data quality built in from the start.