AWS IoT SiteWise now supports multi-variate anomaly detection with Amazon Lookout for Equipment


Today, AWS IoT SiteWise is launching multi-variate anomaly detection of industrial assets via integration of historical and real-time equipment data with Amazon Lookout for Equipment. Anomaly detection helps industrial customers quickly identify and visualize changes in equipment or operating conditions thus unlocking Predictive Maintenance use cases.

AWS customers have been using AWS IoT SiteWise and Amazon Lookout for Equipment to unlock use cases such as anomaly detection for predictive maintenance. This new integration allows customers to directly sync data between AWS IoT SiteWise and Amazon Lookout for Equipment without building a complex set of integrations or writing any code, and then easily build machine learning models directly through AWS IoT SiteWise.

This feature is available in all regions where both AWS IoT Sitewise and Amazon Lookout for Equipment are available.

AWS IoT SiteWise is a managed service that makes it easy to collect, store, organize and monitor data from industrial equipment at scale to help you make better, data-driven decisions. To get started, log into the AWS Management Console, navigate to AWS IoT SiteWise console and check out an on-demand demo to see what you can achieve with AWS IoT SiteWise. To learn more, please visit the developer guide.

Amazon Lookout for Equipment is a machine learning industrial equipment monitoring service that analyzers sensor data for your industrial equipment and detects abnormal equipment behavior so you can act and avoid unplanned downtime.



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