Title

AWS re:Invent 2023 - Using AI to power a circular economy for aerospace (AIM235)

Summary

Capgemini and AWS have collaborated to create a solution for tracking, inventing, recycling, and refurbishing parts from retired aircraft to promote sustainability in the aerospace industry.
Over 800 aircraft are retired annually, with a significant opportunity to increase the number of parts remarketed.
The solution uses AI and machine learning for part traceability, enabling reuse, repair, resale, and recyclability of aircraft parts.
The platform has been tested and is expected to launch in April 2024, aiming to transition from a linear to a circular economy model.
The platform's technical architecture includes serverless components, AI services from AWS, and is deployed using CDK and CI/CD pipelines.
Security is a top priority, with each customer receiving a separate AWS account and infrastructure to ensure data isolation.
Early adopters include Safran, Air France, and Amazon Air, who have provided data to train the AI models.
The platform can analyze documents quickly, identify parts that can be reused or recycled, and even determine the raw materials of parts for potential material recovery.
Generative AI has been implemented to enhance the platform's capabilities, such as verifying regulatory compliance across different regions.
The solution is cost-effective, with analysis costing less than $0.10 per document on average, and is designed to optimize AI usage for cost and performance.

The aerospace industry is facing a sustainability challenge with the retirement of aircraft and the need to manage the lifecycle of parts effectively.
AI and machine learning are critical in creating a circular economy by ensuring traceability and the ability to reuse parts, which can significantly reduce CO2 emissions and raw material extraction.
The importance of digital and paper documentation in aircraft maintenance highlights the need for a solution that can handle both formats efficiently.
The platform's use of serverless architecture and AI services from AWS demonstrates the scalability and flexibility required for processing large volumes of documents.
Security concerns are addressed by providing each customer with a dedicated AWS account, ensuring data privacy and compliance with industry regulations.
The generative AI implementation showcases the platform's ability to adapt to new AI services and improve over time, highlighting the potential for continuous innovation in the field.
The collaboration between Capgemini and AWS exemplifies how partnerships can drive technological advancements and industry-wide change towards more sustainable practices.