Snowflake Unveils AI Integration Solution to Eliminate Data Silos

By Shin Hye An Posted : May 28, 2026, 17:12 Updated : May 28, 2026, 17:12
Ham Jae-won, Director of Snowflake, presents the autonomous business agent strategy built with Snowflake AI at SAP Connect Day for Data and IT Innovation [Photo: Snowflake]

Global AI data cloud company Snowflake announced its participation in the SAP Connect Day for Data and IT Innovation, held on May 28 at the Conrad Seoul Hotel.

During the event, Snowflake showcased its technological capabilities for efficiently analyzing SAP data on the Snowflake platform.

Ham Jae-won, a director at Snowflake, spoke at the Data & AI track session, discussing the integration strategy with SAP Business Data Cloud (BDC) centered on autonomous business agents built with Snowflake AI under the theme "Enhancing SAP Data with Intelligence."

The two companies recently launched the "SAP Snowflake" and "SAP Business Data Cloud Connect for Snowflake" solutions. SAP Snowflake enables the use of Snowflake applications within the SAP BDC environment. SAP customers can immediately access Snowflake's features, including marketplace, applications, disaster recovery, and core agent AI.

SAP Business Data Cloud Connect for Snowflake allows existing Snowflake customers to access SAP data in real-time without moving or duplicating data.

This integration allows for quick and efficient data consolidation and utilization, with AI models and agents operating consistently within a single governance framework that understands SAP's business context.

Snowflake integrates structured and unstructured data on a single platform, providing an environment where business users can analyze data in natural language and build AI agents.

The collaboration between Snowflake and SAP aims to connect Snowflake's AI capabilities directly with SAP business data, maintaining consistent security and governance in a multi-cloud environment, enabling companies to implement agent-based AI more rapidly based on core operational data.

During the presentation, AI use cases applicable across various business sectors, including supply chain, finance, customer service, and HR, were also introduced. Customers can utilize these services across all business areas.

For example, combining SAP inventory data with logistics and weather forecast data from the Snowflake marketplace can create integrated data that connects internal operations with external environments.

The newly introduced enterprise AI integration solution also focuses on resolving companies' data silos. Many organizations have struggled to achieve enterprise-wide benefits from AI due to data being dispersed and isolated by department or system.

Snowflake aims to reduce these issues through direct connections with SAP business data, supporting consistent security frameworks in multi-cloud environments. This enables companies to implement agent-based AI more quickly and expand interdepartmental collaboration and enterprise-wide AI utilization.

Ham Jae-won stated, "The partnership between SAP and Snowflake presents a key strategy for companies to transition their enterprise data into a reliable AI foundation, beyond mere technological integration. Snowflake will support domestic business leaders in breaking down data silos across supply chain, finance, customer service, and other sectors, enhancing competitiveness in the era of agent-based AI."



* This article has been translated by AI.

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