Quick Overview
WWF applies AI-driven computer vision and predictive analytics to analyze GPS and satellite data, tracking endangered species and identifying poaching hotspots for targeted intervention.
World Wildlife Fund (WWF)
Company Size
~6,000 employees
Revenue Range
$400M+ annual revenue
Primary Challenge
Protecting endangered species through data-driven conservation
Key Metrics
\- More effective resource deployment\- Improved protection of endangered species
The Problem
Traditional monitoring was limited in scale and timeliness
The Solution
Integrated AI to process satellite and GPS data for real-time wildlife tracking and poaching detection
Results
\- Enhanced conservation efforts\- Reduced poaching incidents\- Improved species survival rates
Details
Industry
Nonprofit & NGO
Departments
Operations & Workflow Automation
Data & Analytics
Use Cases
Workflow Automation
Predictive Modeling
Tags
Computer Vision
Predictive Modeling
Enhanced Decision-Making
Real-Time Processing
AI Tools Used
No items found.
Sources
https://aiearn.io/case-study-ai-in-nonprofit-organizations/
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