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

By: GoBeyond Team

August 10, 2026

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 Ubisoft Uses AI for Game Character Behavior and Procedural Content Generation

Media & Entertainment

How Affectiva Uses AI-Driven Emotion Recognition to Enhance Mental Health Diagnostics and Therapy Personalization

Mental Health

How Warner Bros. Uses Cinelytic AI to Forecast Movie Success and Optimize Greenlighting

Media & Entertainment

How Smartling Scaled Personalized Email Outreach 10× Using Apollo’s AI Power-Ups

Technology & SaaS

How Otto Achieved 90% Accuracy in Predicting Consumer Purchases with AI

Retail & E-commerce

How IndiGo Improved Customer Satisfaction to 87% with Yellow.AI Chatbots Handling 42M Messages Quarterly

Hospitality & Tourism