Snowflake expands Intelligence and Cortex Code to power agentic enterprise control plane

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Snowflake announced major updates to Snowflake Intelligence and Cortex Code, positioning its platform as a unified control plane for the agentic enterprise. The enhancements help organizations move AI from experimentation to production by integrating data sources, models, and enterprise applications into a single governed environment with over 9,100 customers now using its AI products weekly.

Snowflake Positions Platform as Control Plane for Agentic Enterprise

Snowflake is expanding its enterprise AI capabilities with significant updates to Snowflake Intelligence and Cortex Code, positioning the data cloud platform as a centralized control plane for organizations deploying AI agents across business workflows

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. The enhancements arrive as the industry shifts from AI systems that simply generate responses to those capable of taking action across complex operational environments. By integrating data sources, models, and enterprise applications into a single governed environment, Snowflake aims to help organizations transition from AI experimentation to production deployments at scale

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Snowflake Intelligence Gains Multi-Step Automation and Enterprise Integrations

Snowflake Intelligence now functions as a context-aware AI agent designed for business users, capable of automating routine tasks and performing multi-step analysis while staying grounded in governed enterprise data

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Source: SiliconANGLE

Source: SiliconANGLE

The updated system connects to commonly used enterprise applications through new integrations based on the Model Context Protocol, supporting services including Gmail, Google Calendar, Google Docs, Atlassian's Jira, and Salesforce's CRM suite and Slack. An iPhone application entering public preview extends these capabilities to smartphones, allowing users to query data and trigger business workflows remotely. Additional features include "deep research" for generating multi-step, cited reports, and "artifacts" that enable users to save and share analyses. The system continuously learns from user behavior to personalize outputs and automate recurring tasks over time

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Cortex Code Expands as Builder Layer for AI and Data Workflows

Cortex Code, an AI coding agent for data-centric workflows, is being expanded to serve as a builder layer for enterprise AI. Since launching in late 2025, more than half of Snowflake customers have adopted the tool to accelerate development workflows

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Source: DT

Source: DT

New capabilities extend Cortex Code across external data systems including AWS Glue, Databricks' platform, and PostgreSQL, allowing developers to build applications without migrating data. The platform integrates with other AI systems through the Model Context Protocol and Agent Communication Protocol, enabling interoperability with existing agent frameworks. Snowflake is introducing integrations with popular developer tools such as Visual Studio Code and a plugin for Anthropic's Claude Code. A new software development kit supporting Python and TypeScript allows enterprises to embed Cortex Code capabilities into applications. Additional features include browser-based sandboxes for running code without local setup and tools for previewing workflows before execution

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Adoption Accelerates as Organizations Align AI and Data

Snowflake reports that more than 9,100 customers now use its AI products weekly, with enterprises applying the technology to operational analytics, customer service, and manufacturing use cases

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. "AI is changing how every company operates, and the platforms that win will make it easy to put AI into practice with the right data and guardrails," said Baris Gultekin, vice president of AI at Snowflake. The company's strategy centers on consolidating data, governance, and AI capabilities into a unified control plane, an approach designed to help enterprises manage the complexity of multi-system environments while accelerating production deployments

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. As AI agents become more capable of taking action rather than simply answering questions, these updates enable organizations to connect data sources, enterprise systems, and AI models within a unified experience, aligning tools and workflows with how businesses actually operate

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