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: An Agile Approach to Investment Management Platforms for Private Markets and the Total Portfolio View

Data and operations professionals at private market institutions face significant data and analytical challenges managing private assets data. With investors clamouring for advice and analysis of private markets in their search for returns, investment managers are looking at ways to gain a more meaningful view of risk and performance across all asset types held by...

BLOG

13 Leading AI-Based Data Management Capability Providers

Institutions are facing huge operational burdens as they ingest huge volumes of data, demand real-time analytics and face stringent regulatory scrutiny. Consequently, the new data landscape is rendering traditional data management systems inadequate for the growing number of use cases to which data is being deployed. This has necessitated a shift towards modern data management...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and 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 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...