Panasonic Avionics Corporation provides in-flight entertainment and connectivity (IFEC) systems across a large global fleet serving hundreds of airlines and billions of passengers annually. When a system issue affects passenger experience at this scale, engineers must diagnose the root cause quickly across thousands of unique deployment configurations. Doing this manually, correlating logs, metrics, and ticketing data across diverse fleet variants, can take hours and requires deep institutional knowledge.
In this post, you will learn how Panasonic Avionics Corporation worked with AWS and the AWS Generative AI Innovation Center for architectural guidance to build an agentic AI system. The solution uses Amazon Bedrock, Amazon SageMaker, and AWS Glue to significantly reduce diagnosis time while maintaining high accuracy.
Challenge: Evolving maintenance at scale
Panasonic Avionics Corporation’s operational data serves as a critical asset for monitoring…