S&P Global has announced partnerships with Amazon Web Services (AWS) to allow customers to use AI agents to ask complex questions related to markets, finance, and energy. Customers will receive accurate answers from S&P Global directly within their AWS environments. S&P Global’s reliable data is now accessible through two new Model Context Protocol (MCP) server integrations with the Amazon Quick Suite.
With these integrations, customers of both S&P Global and AWS can combine S&P Global’s data with their own enterprise information and AI workflows. This will help in gaining real-time insights and improving decision-making through S&P Global MCP servers in Amazon Quick Suite. S&P Global Market Intelligence offers various financial datasets, including Capital IQ Financials and earnings call transcripts, via the S&P Global MCP for the Kensho LLM-ready API.
Additionally, S&P Global Energy provides trusted news, insights, and research related to commodities and energy markets through the S&P Global AI Ready Data MCP Server.
“We are excited to collaborate with AWS to bring S&P Global’s data to customers through the next generation of agentic AI experiences,” said Bhavesh Dayalji, Chief AI Officer of S&P Global and CEO of Kensho. “Our goal is to ensure customers can access our trusted data wherever their workflows take place.”
“By integrating S&P Global’s data into Amazon Quick Suite, financial professionals can effectively use advanced AI,” said Scott Mullins, Managing Director of Worldwide Financial Services at AWS. “This collaboration highlights our common goal to provide access to financial intelligence through advanced AI tools while maintaining security, resilience.”
These integrations enhance the reach of S&P Global within the growing world of generative and agentic AI solutions, reinforcing S&P Global’s commitment to serving customers wherever they operate. S&P Global’s solutions and integrations offer value to customers across a wide range of generative AI needs, from improving the performance of large language models with S&P Global’s trusted data to facilitating more efficient workflows across different applications.
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