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 iQuasar Implemented AI-Powered Ticket Management to Optimize Customer Support for a Leading IT Firm

Technology & SaaS

How Enthu.AI Enhances Sales Appointment Setting with AI-Powered Conversation Analytics

Technology & SaaS

How Infosys Implemented an IAM Solution to Improve Governance, Compliance, and Business Agility for a Multinational Consumer Goods Company

Retail & E-commerce

How United Methodist Communities Boosted Transparency and Efficiency with AI Analytics

Healthcare & Medical

How New Town High School Uses “Maths Pathway” AI Platform to Personalize Math Instruction

Education & EdTech

How SDAIA Delivered SR50 Billion in Value by Transforming Saudi Arabia with Data and AI

Technology & SaaS