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Snowflake Cortex AI for Financial Services Unifies Data Ecosystems for Financial Institutions

Snowflake, the AI Data Cloud company, is offering Snowflake Cortex AI for Financial Services, a comprehensive suite of AI capabilities and partnerships that empower financial services companies to unify their financial data ecosystem and securely deploy AI models, apps, and agents with that data—while also offering rigorous security and compliance controls. 

Snowflake also announced a new managed Model Context Protocol (MCP) Server (now in public preview), enabling organizations to easily and securely harness their own proprietary data and third-party data in Snowflake from partners including FactSet, MSCI, Nasdaq eVestment, and The Associated Press.

According to Snowflake, customers will then be able to leverage this MCP Server to connect their data with apps and agent platforms such as Anthropic, CrewAI, Cursor, Devin by Cognition, Salesforce’s Agentforce, UiPath, and Windsurf, through the managed MCP server to build context-rich AI agents and apps.

With these innovations, customers across financial services and other industries can rapidly deploy trusted AI through solutions that are purpose-built for their specific needs, while providing the broader industry with seamless, secure connectivity across their data and AI ecosystems, the company said. 

“The financial services industry has long been a leader in embracing new technology, and AI is no exception. However, the industry faces unique challenges in navigating fragmented data, robust compliance requirements, and the need for airtight security and governance,” said Baris Gultekin, VP of AI, Snowflake. “By bringing AI directly to where their data already lives and enabling secure interoperability with remote agents, Snowflake is making it easier for highly-regulated industries like financial services to power business-critical use cases and tap into a unified ecosystem of best-of-breed data, AI, and apps.”

Cortex AI for Financial Services enables enterprise-ready agents to accelerate complex financial tasks—including market analysis, quantitative research, fraud detection, customer support, and claims management—saving enterprises time, reducing operational costs, and delivering faster insights.

Snowflake’s MCP Server extends this capability by enabling industry-wide interoperability, securely connecting to Snowflake data, as well as third-party data and apps. 

By combining industry-specific data from leading financial institutions and publishers—such as market analysis, expert research, business content, and news—with their own proprietary data in Snowflake, financial services companies can get deeper insights, accuracy, and results from their AI, the company said. 

Sharing of third-party data is now possible alongside tools, apps, and data sources that enterprises are already using, without sacrificing security or governance.

For more information about this news, visit www.snowflake.com.

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