S&P Global Partners with Google Cloud for AI-Ready Data Access
S&P Global has partnered with Google Cloud to expand access to its AI-Ready Data for the commodities sector, announced in a press release. This collaboration integrates S&P Global's Commodity Insights data with Google Cloud's BigQuery platform, allowing customers to leverage advanced data and AI capabilities.
The AI-Ready Data packages cover various sectors, including energy, power and gas, metals, chemicals, agriculture, and supply chain. By utilizing Google Cloud's infrastructure, customers can enhance productivity, improve data governance, and support decision-making in dynamic market conditions.
Mark Eramo, Co-President of S&P Global Commodity Insights, stated that this partnership is a significant step in meeting clients' digital transformation needs by providing flexible access to comprehensive commodity data. The AI-Ready Data format is designed for machine learning applications, offering structured datasets for faster model development and deployment.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 18 Anthropic Commits 5% of Shares to Public Benefit Fund Oct 18 Qatar University and Scale AI Plan Academic Advising Platform Oct 17 Replit Makes OpenAI Its Default Model Partner Over Anthropic Oct 17 OpenAI Adds Slides and Parallel Agents to ChatGPT Oct 16 Nextech3D.ai Adds Agentic AI to Map D Event PlatformEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Industry analysis
2025 Global Business Services Agenda: Gen AI Takes Center Stage
This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.
Read moreYou may also like
BNP Paribas and Google Cloud Sign Five Year AI Partnership
S&P Global Expands ChatIQ in Capital IQ Pro
CNN Signs Multi Year AI Content Deal With Google
CaixaBank expands Google Cloud agreement through 2033
SITA Selects Cognizant for AI Finance Cloud Overhaul
Daily AI Brief: the AI news that matters, in your inbox.