IMPACT BY THE NUMBER
550
engineered features across scenarios and time periods
81M
spatially indexed locations
44.6B
unique data points
The Challenge
Build an enterprise platform that blends climate models, data science and spatial finance to guide investors in allocating capital to climate-resilient assets anywhere across the globe.
The Solution
An AI-powered location analytics platform was developed on AWS with the capability to generate accurate land and property value forecasts for every year through 2040.
- Hundreds of socioeconomic, demographic, and market indicators were seamlessly integrated into the platform.
- Key features included:
- Portfolio Analytics: Actionable insights for risk management, portfolio optimization and global investment strategy.
- Alpha Finder: Optimal locations identification for acquisitions based on investor mandates according to dozens of geocoded and proprietary datasets.
- Risk and Resilience Indicators: Measurement and scoring of any location’s risk exposure and societal resilience to climate disruptions.
The Results
- Cost-savings by reducing investment risks with accurate forecasts.
- Data-driven insights informing confident property decisions, thus reducing uncertainty.
- Future-proofing investments by allocating capital to climate-resilient assets.
Technologies Used
AWS-EC2
AWS-EMR
AWS-RDS
AWS-S3-Bucket
AWS-Sagemaker
Snowflake
Python
Django
Angular
Node.js
PostgreSQL
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