Moody’s has partnered with Microsoft on collaboration and analytics to offer financial services and global knowledge workers with a new and enhanced offering.
The “global integrated risk assessment firm”, Moody’s, will provide data, analytics, and research capabilities, while Microsoft will bring its Azure OpenAI Service.
The strategic partnership promises to deliver next-generation data, analytics, research, collaboration, and risk solutions.
Rob Fauber, President and Chief Executive Officer of Moody’s Corporation, said: “Generative AI represents a once-in-a-generation opportunity to enhance how companies navigate the ever-evolving world of exponential risk.
“By combining Microsoft’s cutting-edge AI capabilities with our proprietary data, research, and analytics, Moody’s is positioned to lead the next generation of risk analysis, helping our customers make better decisions by unlocking deeper, more integrated, and unmatched perspectives on risk.
Fauber continued: “We have activated our 14,000 global employees to drive unprecedented experimentation and ignite new innovations across our suite of products and solutions.
“We are excited to partner with Microsoft to set the standard for how generative AI will pioneer new advancements across our industry.”
Collaboration and Productivity Enhancements
Through its partnership with Microsoft, Moody’s can utilise Microsoft Teams to launch a new collaboration, productivity, and communication platform for knowledge workers and customers.
By implementing Moody’s copilot tools, Teams can automate manual workflows, make data and content more accessible, and bring together and summarise information from multiple data sets.
The result of this will mean improved insights, greater productivity and compliance, and better customer and employee experiences.
The pair will also collaborate on data delivery to shared customers via Microsoft Fabric, an end-to-end data analytics platform.
Fabric synthesises technologies, such as Azure Synapse Analytics, Azure Data Factory, and Power BI, making it easier for engineers to connect and organise data from multiple sources.
