Snowflake is expanding its Snowflake Intelligence and Cortex Code offerings to bring users deploying and developing artificial intelligence inside the Snowflake portfolio.

Snowflake Intelligence is designed for non-technical staff, allowing users to describe tasks in natural language and execute them within existing business workflows. The platform can draw data from internal and external sources, including structured and unstructured data, and is limited by access permissions and organisational governance to prevent data loss and non-compliance.

New interfaces using Model Context Protocol (MCP) are available, with integrations with Google business suite, Jira, and Salesforce (including Slack). An iOS app for Snowflake Intelligence is also in the works and will enter public preview soon. The platform becomes more personalised over time, learning from user behaviour, and allows users to save and share workflows.

Cortex Code, on the other hand, is designed for software development teams in the enterprise, providing a coding and orchestration layer with new options for integration with external data sources, including AWS Glue, Databricks, and Postgres. Cortex Code can also connect to other language models via MCP and Agent Communication Protocol (ACP).

These updates are a result of feedback from Project SnowWork, a research project launched last month to showcase the platform and gather user preferences for features. With these enhancements, Snowflake aims to make AI more accessible and user-friendly for both business and technical users.

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