Industrial asset monitoring with IoT and machine learning
Public technical workCo-authored two-part technical work at AWSPart onePart two
This two-part AWS series connects simulated industrial assets and telemetry with an operating dashboard, a managed anomaly-detection service, model training, scheduled inference and continuing equipment monitoring.
The important part was the complete path around the model. Industrial machine learning becomes credible when data collection, asset identity, training, inference and the operator’s view behave as one system.