How MSCI Uses Machine Learning and Google Cloud AI to Enrich Asset Data and Manage Climate Risks

By: GoBeyond Team

July 27, 2025

3 min read

MSCI AI-enhanced climate risk data dashboard

Quick Overview

MSCI integrates machine learning with Google Cloud’s Vertex AI, BigQuery, and Cloud Run to enrich datasets covering approximately 1 million asset locations worldwide. This advanced data enrichment helps clients better manage climate-related financial risks through detailed analysis and reporting.

MSCI

Company Size

~3,000 employees

Revenue Range

Not publicly disclosed

Primary Challenge

Enhancing data quality and climate risk management for asset owners and investors

Key Metrics

- Enriched asset datasets
- Improved climate risk insights
- Enhanced client reporting and decision-making

The Problem

Incomplete and inconsistent asset data limited effective climate risk management

The Solution

AI-powered data enrichment pipelines combined with cloud data processing and machine learning

Results

- More comprehensive climate risk assessments
- Improved regulatory compliance
- Better investment decisions

Details

Industry

Finance & Banking

Departments

Data & Analytics

Use Cases

Data Analysis

More Case Studies

See All

How Henkell Freixenet Achieved 91% Forecast Accuracy and Enhanced Planning with Jedox AIssisted™ Planning

Retail & E-commerce

How Cintas Uses Vertex AI Search to Improve Internal Knowledge Access and Client Response

Technology & SaaS

How CLA Streamlined Processing of 15,000 Monthly Invoices Using AI Automation

Manufacturing

How Fluor Corporation Uses AI for Real-Time Workforce Management and Reporting

Construction

How Widewail Uses AI to Analyze Customer Reviews and Social Media for Sentiment and Topic Trends

Hospitality & Tourism

How Facebook Uses Sapienz AI to Automate Android App Testing and Reduce Crashes

Technology & SaaS