In the world of financial risk assessment, New York based Moody’s is a global powerhouse with a vast wealth of information. Now, thanks to a partnership with Microsoft announced today, Moody’s is bringing the power of generative AI to its enterprise.

Moody’s is using the Microsoft Azure OpenAI service as the engine that helps to unlock research information and risk assessment capabilities. Among the first services to be deployed is Moody’s CoPilot, which is an internal tool that will help the company’s 14,000 global employees more easily query and access data and research with the power of large language models (LLMs).

Looking beyond just AI, Moody’s is also embracing the Microsoft Fabric data management platform — which was announced last month — in a bid to help better manage data for AI and analytics.

“The new generative AI tools will further enhance data and risk management capabilities for our employees and customers,” Nick Reed, CPO at Moody’s, told NeuralNation. “Users will leverage the technology to access tailored risk data and insights drawn from across Moody’s vast body of risk data, analytics and research.”

Microsoft has recently developed a generative artificial intelligence (AI) fabric based on the Moodys Corporate Family Rating (CFR) system. This development represents a major advance in the field of AI, as it provides a tool to better understand the complexity of corporate creditworthiness and assess risk for various company entities.The corporative creditworthiness assessment fabric utilizes sophisticated machine learning algorithms to analyze companies from different angles, such as past performance, capital structure, and the stability of their assets. From this information, the fabric can predict the creditworthiness of companies. This enables investors to quickly identify companies that are more likely to perform better in a given environment.

The development of the AI fabric has been made possible by Microsoft’s Cognitive Services, which uses AI capabilities such as computer vision, machine learning, natural language processing, and speech recognition in its applications. In the context of corporate creditworthiness, these AI capabilities are used to accurately analyze data from a variety of sources, such as financial statements and market data.

The ability to accurately assess a company’s creditworthiness gives investors the confidence to invest in unknown entities. In addition, the fabric can help provide insight into the various risks associated with different corporate entities and their industry, such as liquidity risk and credit risk.

Microsoft’s AI fabric is an important milestone in the development of artificial intelligence. It has the potential to revolutionize the way investors assess the creditworthiness of companies, and will provide a reliable tool for making smarter investments.