AWS IoT SiteWise

Collect, organize, and analyze data from industrial equipment at scale
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AWS IoT SiteWise - Collect, Organize, and Analyze Data from Industrial Equipment at Scale (2:10)
Why AWS IoT SiteWise?
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. You can use AWS IoT SiteWise to monitor operations across facilities, quickly compute common industrial performance metrics, and create applications that analyze industrial equipment data to prevent costly equipment issues and reduce gaps in production.
Why AWS IoT SiteWise?
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. You can use AWS IoT SiteWise to monitor operations across facilities, quickly compute common industrial performance metrics, and create applications that analyze industrial equipment data to prevent costly equipment issues and reduce gaps in production.

Benefits of IoT SiteWise

AWS IoT Sitewise unlocks data from industrial equipment to deliver an organized view of live and historical operational insights.

Collect, manage, and analyze data from your industrial equipment, data servers, and historian databases.
Use asset models to organize and analyze data at the enterprise, site, area, and machine level.
Keep the pulse of your operation with alarms, real-time metrics, live visualization dashboards, and machine learning for equipment anomaly predictions.
Collect and process industrial data locally, and build hybrid applications that work seamlessly across the edge and cloud.

How it works

AWS IoT SiteWise is a managed service that simplifies collecting, organizing, and analyzing industrial equipment data.

Use cases

Organize sensor data streams from multiple production lines and facilities to drive efficiencies across locations.
Monitor performance metrics from manufacturing lines, assembly robots, and factory equipment to discover and act on opportunities for improvement.
Prevent, detect, and resolve equipment issues faster through remote asset monitoring using historical and near-real-time data.