Snowflake is expanding Snowflake Intelligence and Cortex Code with new AI features for business users and developers. The company aims to position both products as a central layer for AI agents, featuring additional connections, automation, and development within existing tools and environments.
Snowflake announces updates for Snowflake Intelligence and Cortex Code. These include new capabilities that allow organizations to more closely connect data, systems, and workflows with AI agents on a single platform.
The focus is on new features rather than a completely new product. Snowflake Intelligence is primarily gaining extra automation and integrations, while Cortex Code is becoming more versatile across various data environments and development tools.
New features for Snowflake Intelligence
Snowflake Intelligence is designed to help business users move faster from insights to actions. New additions include Skills, which will soon be generally available. These allow users to describe workflows in natural language—such as preparing an analysis, building a presentation, or sending follow-ups—after which the system executes those tasks automatically.
Additionally, Snowflake is adding new MCP connectors. These are intended to connect Snowflake Intelligence with tools such as Gmail, Google Calendar, Google Docs, Jira, Salesforce, and Slack. Furthermore, an iOS app is entering public preview, allowing users to ask questions and perform actions based on business data and workflows while on the go.
Snowflake is also working on deep research, also in public preview. This feature is designed to answer complex questions using multi-step reasoning across structured data, unstructured content, and external context. Moreover, Intelligence continuously learns from user behavior to personalize answers and further automate recurring tasks. With Artifacts, teams can save and share analyses, visualizations, and workflows.
Cortex Code receives broader support
Cortex Code targets developers and is gaining more reach within the existing data stack. The platform now also supports external data systems such as AWS Glue, Databricks, and Postgres. According to Snowflake, this should allow developers to work where the data resides without having to centralize everything first.