● NewsInsight from the intersection of AI and business
Product updates, research, customer stories, and perspectives from the team building AI at S&P Global.
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S&P Global expands AI ecosystem reach with Cohere to power trusted, agentic workflows for financial institutions
New collaboration brings S&P Global's essential intelligence into Cohere's secure enterprise AI platform, North, extending the reach of S&P Global data across the applications and platforms where customers work. Customers can now access financial data directly within Cohere's secure agentic AI platform, accelerating research, analysis, and reporting workflows across financial services.
Kensho MCP Apps: Visualize, explore, and interact with S&P Global data inside AI applications
Financial professionals increasingly work inside AI applications like Claude and ChatGPT, but most information they get back is locked in static text. Kensho MCP Apps change that. We've built a suite of applications embedded directly inside AI chat interfaces that turn S&P Global’s data into interactive charts, tables, visualizations, and more, all without ever leaving the conversation. Customers can explore, filter, and ask follow-up questions about the charts and tables in real time, making research faster and more intuitive. Kensho MCP Apps are now available in beta for select customers.
How Kensho built a multi-agent framework with LangGraph to solve trusted financial data retrieval
Discover how Kensho, S&P Global’s AI innovation engine, leveraged LangGraph to create its Grounding framework–a unified agentic access layer solving fragmented financial data retrieval at enterprise scale.
Designing trustworthy AI: Principles for effective human-AI teaming in finance
A human-AI collaboration approach can ensure trust, transparency, and control when designing generative AI applications. We outline key design principles to help organizations safely deploy agentic AI in financial environments.
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