● Covered by 1 source · 1 reportLow impact1 positive
Panasonic Avionics uses agentic AI on AWS to accelerate IFEC diagnostics
Key points
- Panasonic Avionics provides IFEC systems to hundreds of airlines.
- Manual diagnostics across diverse configurations took hours.
- An agentic AI system was built with AWS for faster diagnosis.
- The system uses Amazon Bedrock, SageMaker, and AWS Glue.
Addressing Diagnostic Challenges
Panasonic Avionics Corporation, a provider of in-flight entertainment and connectivity (IFEC) systems, faced challenges in diagnosing system issues across its global fleet. With thousands of unique deployment configurations, manually correlating logs, metrics, and ticketing data to find root causes could take hours and required extensive institutional knowledge.
Agentic AI Solution Development
To address these challenges, Panasonic Avionics collaborated with AWS and the AWS Generative AI Innovation Center. This partnership led to the development of an agentic AI system designed to accelerate IFEC diagnostics. The system integrates Amazon Bedrock, Amazon SageMaker, and AWS Glue to process operational data.
Improving Operational Efficiency
The new AI system aims to reduce the Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) issues. Previously, detection relied on ticket generation and manual review, and resolution involved significant investigative effort. The agentic AI automates repetitive investigative tasks and log reviews, improving diagnostic accuracy and overall analysis cycles.
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Reporting from
Panasonic Avionics Corporation developed an agentic AI system with AWS to speed up diagnostics for its in-flight entertainment and connectivity (IFEC) systems. This solution, utilizing Amazon Bedrock, Amazon SageMaker, and AWS Glue, reduces the time needed to identify root causes of system issues across diverse aircraft configurations.