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 Google Cloud Partner to Build Large Language Models and Generative AI Apps

Subscribe to our newsletter

Moody’s Corporation and Google Cloud have made a strategic partnership to explore a combination of Moody’s expertise in financial analysis and Google Cloud’s generative AI (gen AI) technologies to help Moody’s customers and employees use large language models (LLMs) to gain financial insights and summarise financial data faster.

This is Moody’s second key partnership on gen AI, following an arrangement made with Microsoft in July 2023.

On the company’s partnership with Google Cloud, Nick Reed, chief product officer at Moody’s, says: “Moody’s expertise in understanding financial data, disclosures and reporting position us to anchor development of fine-tuned LLMs. This collaboration will enable financial services professionals to produce new, proprietary insights faster than ever before.”

Phil Moyer, vice president, global AI business and solutions at Google Cloud, adds: “Our collaboration with Moody’s is a blueprint for how advanced gen AI technology can drive efficiencies for financial institutions and employees in the financial services industry. We can help customers make better decisions and employees be more productive.”

The partnership is based on three objectives:

Building LLMs to accelerate financial analysis – Powered by Google Cloud’s gen AI platform, Vertex AI, and using Moody’s analytical expertise, the partners will explore co-creation of fine-tuned LLMs purpose-built for financial professionals, enabling customers to perform faster, deeper analyses of financial reports, disclosures and other materials.

Enabling access to Moody’s data in BigQuery for financial insights – Moody’s will enable access to its proprietary datasets through BigQuery, Google Cloud’s serverless data warehouse, which helps customers manage, query, and analyse data. The integration will allow customers to combine Moody’s databases with their native data assets and use them in combination with LLMs in Vertex AI. Customers will be able to build and access AI models, accelerating time-to-value through increased efficiency.

Enhancing enterprise search for financial data – Moody’s will introduce Vertex AI search to increase efficiencies by automating manual workflows and combining multiple data sets for easier summation, deeper insights, and overall improved productivity.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: ESG data sourcing and management to meet your ESG strategy, objectives and timeline

ESG data plays a key role in research, fund product development, fund selection, asset selection, performance tracking, and client and regulatory reporting, yet it is not always easy to source and manage in a complete, transparent and timely manner. This webinar will review the state-of-play on ESG data, consider the challenges of sourcing and managing...

BLOG

J.P. Morgan Adds Containerised Data for Institutional Investors to Fusion Data Mesh

J.P. Morgan has added Containerized Data for institutional investors to its Fusion data mesh. The solution normalises data across multiple providers, sources, types and structures and provides consistent and enriched data across business services. Fusion is a cloud-native data technology platform that provides data management, analytics and reporting, and is built on J.P. Morgan’s global...

EVENT

Buy AND Build: The Future of Capital Markets Technology, London

Buy AND Build: The Future of Capital Markets Technology London on September 19th at Marriott Hotel Canary Wharf London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Regulatory Data Handbook – Fifth Edition

In response to the popularity of the A-Team Regulatory Data Handbook, we have published a fifth edition outlining the essentials of regulations that are likely to have an impact on data and data management at your organisation. New to this edition is a section on RegTech, covering drivers behind the development of innovative regulatory technology,...