About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Moody’s and Microsoft Partner on Next-Gen Solutions Including Generative AI

Subscribe to our newsletter

Strategic Partnership for Next-Gen Solutions Built on Microsoft Azure OpenAI Service, Microsoft Fabric, and Microsoft Teams and Moody’s Proprietary Data to Empower Financial Services, Capital Markets and More

Moody’s and Microsoft have made a strategic partnership to co-create next-generation data, analytics, research, collaboration and risk solutions for financial services. The solutions will be built by combining Microsoft’s Azure OpenAI Service, Fabric, and Teams, with Moody’s proprietary data, analytics and research, and are designed to enhance insights into corporate intelligence and risk assessment.

The partners will accelerate progress in generative AI by using Moody’s CoPilot, an internal tool, to combine the company’s proprietary data, analytics and research with large language models (LLMs) and Microsoft’s generative AI technology to drive firm-wide innovation and enhance employee productivity. A new copilot tool for customers, Moody’s Research Assistant, will unlock Moody’s resources and solutions to provide customers with a multifaceted view of risk.

Rob Fauber, president and CEO at Moody’s Corporation, says: “Generative AI represents a once-in-a-generation opportunity to enhance how companies navigate risk. By combining Microsoft’s AI capabilities with our proprietary data, research and analytics, Moody’s next generation of risk analysis will help customers make better decisions by unlocking deeper and more integrated perspectives on risk.”

Microsoft and Moody’s will also collaborate to deliver data to shared customers through Microsoft Fabric, an analytics platform for end-to-end data management. New products and services for research and assessment are being built on Azure OpenAI services, Microsoft is using Moody’s solutions, including its Orbis entity database, for applications that include third-party reference data, counterparty risk assessment, and supply chain management, and Moody’s is adopting Microsoft Teams for its workers and customers. The company has also committed to using Microsoft’s Azure cloud platform to power its growing suite of generative AI capabilities and cloud-based applications.

Bill Borden, corporate vice president of worldwide financial services at Microsoft, concludes: “Our partnership will bring together world-class insights from Moody’s with the capabilities, trust and breadth of Microsoft Cloud to enable next-gen solutions that will unlock powerful business intelligence and transform productivity and collaboration.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking Transparency in Private Markets: Data-Driven Strategies in Asset Management

As asset managers continue to increase their allocations in private assets, the demand for greater transparency, risk oversight, and operational efficiency is growing rapidly. Managing private markets data presents its own set of unique challenges due to a lack of transparency, disparate sources and lack of standardization. Without reliable access, your firm may face inefficiencies,...

BLOG

Governance to be Scrutinised at Inaugural AI in Data Management Summit NYC

Ensuring artificial intelligence deployments are securely governed without stymieing their potential is a delicate balancing act. It requires carefully drawn policies, frameworks and processes. As deployment of the technology expands and its capabilities and complexity multiply, the governance structure must adapt and evolve. How to get this right is among the most important topics swirling...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Enterprise Data Management

The current financial crisis has highlighted that financial institutions do not have a sufficient handle on their data and has prompted many of these institutions to re-evaluate their approaches to data management. Moreover, the increased regulatory scrutiny of the financial services community during the past year has meant that data management has become a key...