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 Sundance Film Festival Used Multiple AI Tools to Accelerate Dashboard Design and Foster Innovation

Media & Entertainment

How BuildRight Construction Avoided $2M Cost Overrun Using AI-Driven Project Budgeting

Construction

How Zendesk Uses AI to Automate Sentiment Scoring and Trend Detection from Customer Feedback

Technology & SaaS

How Dartmouth University’s Therabot Uses Generative AI to Provide Real-Time Therapy Support

Mental Health

How RBC Wealth Management Digitally Transformed Client Onboarding with Low-Code Automation

Finance & Banking

How Eleken Redesigned Kepler’s Low-Code AI Platform UI/UX to Improve Usability and Adoption

Technology & SaaS