Agentic AI workflows are changing the way that financial companies are accessing and utilizing data. S&P Global has been working with Cohere to extend the reach of its AI ecosystem. In this process, reliable intelligence is now embedded in Cohere’s enterprise-grade platform, North.
In addition, this integration will enable customers to access financial data via agentic AI workflows. As a consequence, it is easier for organizations to conduct their research and analysis activities, among others. Furthermore, the platform will provide secure on-premises workloads leveraging cutting-edge AI models. The strategic efforts of S&P Global keep pace with the emerging needs of enterprise AI. Hence, it provides its data within the customer platforms.
“We’ve done the work on the backend to make our data AI-ready, build the retrieval infrastructure, and partner with best-in-class AI providers, so that customers can simply put S&P Global to work in the platforms they already use,” said Bhavesh Dayalji, Chief AI Officer of S&P Global and CEO of Kensho. “As agentic workflows become the norm, we deliver value by ensuring that customers can access our data seamlessly and accurately, wherever they work.”
Strengthening Payment Infrastructure and Security
Furthermore, customers can combine S&P Global data with their internal datasets. As such, the consumer will get insights that will enable them to make financial decisions quickly and accurately. Productivity is increased since there will be no need to develop unique pipelines for the data. Generally, agentic artificial intelligence workflows help in improving financial data access securely and effectively.
“By combining S&P Global’s financial intelligence with Cohere’s enterprise‑grade sovereign AI platform, we’re giving financial institutions a secure foundation to build agentic workflows wherever their data lives that deliver measurable impact,” said Frank O’Dowd, Chief Revenue & Commercial Officer of Cohere. “Regulated industries need AI they can trust with their most sensitive workloads, and they want it deeply connected to the proprietary data that drives their business. This collaboration marks a major step forward in how the global financial ecosystem puts high‑trust AI to work.”
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Source: PRNewswire
