Snowflake unveiled a data integration strategy that enables AI agents to utilize both customer data and enterprise operational data through platform integration with Salesforce.

Snowflake participated in the 'AgentForce World Tour Korea 2026' held at COEX in Seoul on the 10th and announced zero-copy integration methods between Salesforce Data 360 and Snowflake AI Data Cloud. Jo Dong-kyu, Senior Vice President of CSP Partners at Snowflake, explained customer data integration and AI application cases utilizing both companies' platforms.

The key point of this announcement is a method to connect Salesforce's customer contact data with operational, transaction, and application data stored in Snowflake without duplication. This allows companies to reduce the burden of data transfer while establishing a foundation for AI agents to utilize information necessary for their work.

Snowflake also presented an integration structure between its AI capabilities, such as Cortex Agents, Cortex Analyst, and Cortex Search, and Salesforce AgentForce. Through MCP-based connectivity, both parties support a method to query necessary data and incorporate it into workflows.

Industry-specific examples mentioned include the integration of fan data in the media and sports sectors, personalized recommendations in the financial sector, data cleanroom-based advertising analysis in the retail and consumer goods sectors, and the utilization of linked clinical and customer data in the healthcare sector.

Executive Director Cho Dong-kyu stated, “A reliable data foundation is necessary for AI to translate into actual business performance,” adding, “We will support companies in applying AI agents to their business processes by connecting distributed data.”

As the use of AI agents expands, the importance of technology that securely connects internal corporate data with customer data is also growing. The integration between data platforms and CRMs is expected to serve as a key foundation in the future corporate AI adoption process.