Native anomaly detection features - AWS IoT SiteWise

Native anomaly detection features

The AWS IoT SiteWise platform offers a range of powerful features that can transform your industrial operations:

  • Predictive maintenance: Detect failures early, and integrates with work order systems to act on insights.

  • Tight integration with AWS IoT SiteWise: Leverage the tight integration into your existing infrastructure, eliminating the need to move your data to an external service.

  • Automatic model selection and training: Benefit from this support from AWS IoT SiteWise, without requiring any machine learning expertise.

  • Customize your inference scheduling: Schedule inference jobs to align with your operational needs and shift timings.

  • Labeled data: Improve accuracy with known failure intervals during model training.

  • Model evaluation with pointwise diagnostics: Evaluate model performance at the event level.

  • Scalable across assets: Create computation models for individual assets or across multiple assets to achieve scalability.

  • Sensor-level insights: Gain detailed diagnostics that identify the specific sensor(s) contributing to an anomaly.

  • Faster time to value: Move from sensor modeling to anomaly detection in a matter of hours, not weeks.