S&P Global Integrates Commodities Data with Microsoft 365 Copilot
S&P Global has launched AI agent capabilities that integrate commodities data with Microsoft 365 Copilot, announced in a press release. This integration leverages S&P Global's Commodity Insights AI Ready Data solution, providing users with seamless access to comprehensive commodities insights within Microsoft 365 Copilot.
The integration is designed to simplify AI implementation by requiring no coding, thereby enhancing productivity and informed decision-making. The AI Ready Data connector within Microsoft 365 Copilot unlocks access to S&P Global data, allowing users to easily surface detailed commodities insights for everyday use.
Saugata Saha, Chief Enterprise Data Officer at S&P Global, emphasized that this collaboration with Microsoft establishes direct access to critical information, enhancing productivity and informed decision-making. Jason Henderson, Corporate Vice President at Microsoft, noted that this partnership simplifies access to comprehensive commodities data, opening up new opportunities for customers to make informed decisions directly within the Microsoft 365 Copilot tool.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Finance
Oct 16 Matters Raises $5 Million to Build AI Consumer Bank Oct 16 HKMA Introduces ART Framework for AI Use in Banking Oct 15 Moomoo Adds AI Assistants to Global Paper Trading Contest Oct 15 Financial Stability Board Publishes 12 AI Practices for Financial Firms Oct 15 Starling Bank to Train Transactional AI Model on Civo UK CloudFinance AI Weekly
Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Bloomberg Law Adds Docket Data to Microsoft Copilot
SAS Releases AI Navigator on Microsoft Marketplace
S&P Global Adds Visible Alpha Data to AI Data Portal
Microsoft launches Copilot for Legal with more than 20 specialized skills
S&P Global Expands ChatIQ in Capital IQ Pro
Daily AI Brief: the AI news that matters, in your inbox.