S&P Global (NYSE: SPGI) today announced the launch of AI agent capabilities that utilize data from the commodities sector, integrated with Microsoft 365 Copilot and powered by its Commodity Insights AI-Ready Data solution.
The S&P Global AI agent on Microsoft 365 Copilot harnesses the expertise of S&P Global Commodity Insights, an independent provider of information, analysis, data, and benchmark prices for the commodities, energy, and energy transition markets.
The integration requires no coding. The AI-Ready Data connector within Microsoft 365 Copilot unlocks access to partner data, empowering users to access and surface comprehensive commodity insights within Microsoft 365 Copilot.
“For over 160 years, S&P Global has been at the forefront of delivering essential data and intelligence that empowers our clients to make confident decisions,” said Saugata Saha, chief enterprise data officer and president of S&P Global Market Intelligence. “As markets and client workflows evolve to harness the capabilities of GenAI, (our) integration with Microsoft 365 Copilot establishes direct access to a wealth of critical information, enhancing productivity and informed decision-making.”
“The combination is a powerful example of how (we are) focused on advancing the use of AI through our platforms and partnerships. We are elevating the customer experience by offering our clients an innovative way of accessing best-in-class datasets that help them make decisions with confidence and conviction,” said Sally Moore, chief client officer at S&P Global.
“As we look to the future, Microsoft and S&P Global are well-positioned for further innovative solutions in the quickly evolving AI marketplace,” said Jason Henderson, corporate vice president, Office 365 Product Management at Microsoft. “This collaboration simplifies access to comprehensive commodities data and opens up new opportunities for our customers to make informed and efficient decisions, right inside the Microsoft 365 Copilot tool.”
The S&P Global Commodity Insights AI Ready Data dataset encompasses a comprehensive array of textual content across publications produced by in-house editorial and research teams, including market reports, news articles, rationales, commentaries, fundamentals analyses and outlooks.
