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Predictive maintenance at scale with KAES and AWS

Learn how Koch Ag & Energy Solutions (KAES) uses Amazon Monitron and Amazon Web Services (AWS) machine learning to reduce unplanned downtime and optimize maintenance schedules, without adding complexity.

#MakeYourMove to predictive maintenance

#MakeYourMove

Unplanned equipment failures are costly, but over-maintaining assets wastes time and resources. In this video, see how Koch Ag & Energy Solutions (KAES) uses Amazon Monitron to continuously monitor industrial machinery and detect early signs of failure before they disrupt operations.


Using wireless sensors and built-in machine learning, KAES turns vibration temperature data into actionable maintenance insight, without requiring deep machine learning expertise.


Discover how KAES is: 

  • Monitoring critical equipment health with wireless sensors and machine learning

  • Detecting anomalies early to reduce unplanned downtime

  • Shifting maintenance from reactive to proactive and data-driven

Watch the video to see how KAES and AWS are improving equipment performance and operational efficiency at scale.


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Predictive maintenance at scale with KAES and AWS

See how Koch Ag & Energy Solutions (KAES) uses Amazon Monitron to monitor industrial equipment, detect issues early, and shift from reactive to data-driven maintenance.

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