Overview
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Explore how TDK SensEI partnered with AWS to develop an innovative predictive maintenance solution for manufacturing in this 19-minute conference talk from AWS re:Invent 2025. Discover the complete journey from initial concept to successful deployment across multiple factories, learning how the team leveraged AWS IoT Core, Greengrass, and SageMaker to construct a secure and scalable platform for real-time machine health monitoring. Examine critical architectural decisions including edge computing strategies, machine learning model deployment approaches, and data pipeline optimization techniques that enabled the platform's success. Understand how automated anomaly detection was implemented and how generative AI was integrated to provide enhanced predictive maintenance insights. Gain practical knowledge about building production-ready industrial IoT solutions on AWS, with specific focus on manufacturing modernization challenges and solutions. Learn from real-world implementation experiences that demonstrate how to create scalable IoT platforms capable of handling enterprise-level manufacturing environments while maintaining security and performance standards.
Syllabus
AWS re:Invent 2025 - TDK SensEI built scalable IoT platform with AWS for sensor insights (NTA204)
Taught by
AWS Events