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 American Cancer Society Uses Machine Learning to Optimize Donor Communication and Boost Fundraising

Nonprofit & NGO

How Adobe Uses Wrike’s AI-Powered Reporting to Track Creative Project Progress and Optimize Resource Allocation

Technology & SaaS

How Epiroc Reduced Product Returns by 30% and Accelerated Manufacturing Innovation with AI

Manufacturing

How DLA Piper Uses Lex Machina AI for Predictive Litigation Analytics and Client Advisory

Legal

How Toshiba Saved 5.6 Hours Per Employee Monthly Using Microsoft 365 Copilot and Viva Insights

Technology & SaaS

How Procter & Gamble Uses Machine Learning to Forecast Demand and Optimize Inventory Management

Retail & E-commerce