NFL and AWS Partnership to Enhance Player Health and Safety with AI and Machine Learning
The NFL partnered with AWS to develop the "Digital Athlete" platform, using AI, machine learning, and computer vision to analyze player health and safety data and predict injury risk. AWS technologies such as Amazon SageMaker, Amazon Rekognition, and AWS AI/ML services were applied to model game scenarios and concussion-causing forces. The collaboration involves leveraging historical and real-time player data, video feeds, and environmental factors to improve injury treatment, prevention, and rehabilitation. Advanced computer vision models were developed to detect concussions, and the partnership expanded the NFL's use of AWS for real-time NFL Next Gen Stats data analysis.
- Organization
- National Football League
- Industry
- Other
- Location
- United States
- Published
- December 2019
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- National Football League
- Provider
- AWS
- Maturity
- Unknown
- Linked source
- NFL Official Website
No explicit deployment-stage evidence found.
Primary read
Use case focus
Showing 3 of 3
- 1Player health monitoring
- 2Injury prediction and prevention
- 3Computer vision for concussion detection
- Co-developed AI-enabled "Digital Athlete" platform simulating player scenarios using AWS AI, ML, and computer vision services.
- Use of Amazon SageMaker and Amazon Rekognition to build models to detect concussion-causing forces and analyze injury factors.
- Integration of comprehensive datasets including player position, play type, equipment, playing surface, and anonymized injury data.
- Enhanced understanding of injury mechanisms leading to better treatment protocols and preventive measures.
- Potential to significantly reduce concussion incidents and other injuries in football.
- Insight generation supports player safety improvements extending beyond sports.
Sources & evidence1
- Customer explicitly identified
- Technical implementation details available
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2026.
Measures whether this deployment's public evidence persists — not whether the system is still in production.
AI-generated summary. Verify important details with the linked sources before relying on this case.
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