Observed Signal · Jun 4, 2026 · Product Launch · Source: https://martech.org/feed/ · Impact: 4/5 · Sentiment: Positive
Snowflake Unveils AI Tools to Put Models Next to Data
At Snowflake Summit 2026, Snowflake positioned itself as a "System of Intelligence" by introducing several AI-focused products and features designed to keep models and governance next to enterprise data. Announcements include rebranded agentic AI building blocks (CoWork, CoCo), a context layer called Cortex Sense, Cortex Agent Sharing for secure cross-account agent use, expanded support for Apache Iceberg and open data architectures, and Horizon Catalog updates that translate plain-English rules into enforceable policies. Snowflake also expanded its partnership with Anthropic to run Claude models directly inside Snowflake, enabling marketers to analyze sensitive customer data and generate insights without exporting data to external platforms.
Major cloud data platform (Snowflake) announced agentic AI features, contextual layers, governance tooling, and an Anthropic Claude integration that change how marketers and enterprises can run AI against governed customer data without exporting it—impacting data governance, privacy, and marketing workflows.
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Key Takeaways & Evidence Grounding
- Snowflake announced new AI building blocks named CoWork and CoCo at Snowflake Summit 2026.
- Snowflake launched Cortex Sense, a context layer intended to provide operational context to AI agents.
- Snowflake expanded its partnership with Anthropic to bring Claude models directly into Snowflake.
- Cortex Agent Sharing was introduced to allow secure sharing of AI agents across Snowflake accounts without exposing underlying data.
- Snowflake updated Horizon Catalog to let users define access and privacy rules in plain English and expanded support for Apache Iceberg and open data architectures.
Connected Companies & Entities
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Related Market Signals & Shifts
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Snowflake Expands Intelligence and Cortex Code
Snowflake announced major updates to Snowflake Intelligence and Cortex Code to position its platform as the control plane for the agentic enterprise. Snowflake Intelligence is extended as a personalized, context-aware work agent for business users with features such as natural-language 'Skills', Model Context Protocol (MCP) connectors to enterprise tools, an iOS mobile app (public preview), multi-step 'deep research' reports, personalization, and reusable 'Artifacts'. Cortex Code is expanded as a builder layer with broader data-system support (AWS Glue, Databricks, Postgres), integrations to other AI systems via MCP and Agent Communication Protocol (ACP), a VS Code extension (private preview), a Claude Code plugin, an Agent SDK (Python and TypeScript), and Cloud Agents in Snowsight (private preview). Snowflake cites more than 9,100 weekly users of its AI products and customers including Capita, Logitech, Telenav, United Rentals and Wolfspeed moving AI into production on its governed data platform.
Governed AI for Every Builder: Enterprise Controls in Snowflake CoCo
Snowflake announces enterprise controls for AI governance in Snowflake CoCo, along with other AI-related updates including dynamic model routing and open models for better AI economics.
Snowflake Cortex Code Now Supports Any Data Source!
Snowflake announced that Cortex Code CLI, its AI coding agent for local development, is expanding beyond Snowflake-native workflows to support any data source across systems, beginning with dbt and Apache Airflow (now generally available). The update brings context-aware AI assistance into popular data engineering tools, expanded model choice (including Claude Opus 4.6 and OpenAI GPT-5.2), and new administrative controls and governance. Snowflake also introduced a standalone subscription for Cortex Code CLI that operates independently of Snowflake compute and consumption, enabling teams to adopt the tool without an existing Snowflake deployment. Snowflake reported strong adoption since Cortex Code’s November 2025 launch, citing over 4,400 new users. Customer quotes (Braze, evolv Consulting) highlight productivity and time-savings gains from the tool’s context-aware capabilities.
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