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 Cylance Prevents Zero-Day Attacks and Insider Threats Using AI

Technology & SaaS

How Rolls-Royce Uses Predictive Analytics to Monitor Aircraft Engines and Improve Reliability

Manufacturing

How ApiX-Drive Automated HR Processes to Increase Productivity by 30%

Recruitment

How Tesla Uses AI to Revolutionize Autonomous Driving and Vehicle Safety

Manufacturing

How Healthfirst and ClosedLoop Use Scalable AI/ML to Automate Clinical Workflows and Predict Health Outcomes

Healthcare & Medical

How Cosabella Increased ROAS by 50% and Reduced Ad Spend by 12% with Albert AI

Retail & E-commerce