LSEG and Snowflake expand collaboration to connect trusted financial data with cloud-native AI workflows

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Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 14,500 customers around the globe, including…

LONDON – Snowflake (NYSE: SNOW), the AI Data Cloud company, and LSEG announced an expanded five-year enterprise-wide collaboration at the Snowflake World Tour today.

The relationship brings together LSEG’s trusted financial data and resilient financial market infrastructure with Snowflake's cloud-based data and AI technology. By combining these strengths, the two companies aim to build a more open data ecosystem that makes high-quality financial information simpler and safer to access and share. As a result, customers will be able to use LSEG's financial intelligence directly within the platforms and applications they already rely on.

Under the agreement, LSEG is increasing its commitment with Snowflake to support planned growth, migration programmes and customer-facing data services across Markets, Data & Analytics, AI and Risk Intelligence. Snowflake will also become a licensed customer of LSEG’s Risk Intelligence World-Check services, supporting its own customer onboarding and third-party risk management processes.

The collaboration deepens LSEG’s ongoing use of Snowflake’s AI Data Cloud for data and analytics, reporting and Snowflake Marketplace services. Through the expanded relationship, joint customers can bring licensed LSEG content together with their own proprietary and other third-party data, enabling the application of analytics and AI within a governed environment.

“This expanded collaboration advances our ‘LSEG Everywhere’ AI and data strategy, bringing our financial intelligence into customers’ chosen environments and enabling them to scale AI with trusted data and clear controls. We are also delighted that Snowflake has selected our Risk Intelligence products as its KYC compliance solution.”

"The future of finance will be built by institutions that can put AI to work directly on their most trusted data, without ever compromising governance or control.

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