Level: 200
Today, the majority of machine maintenance is either reactive or preventive in nature. In the reactive approach, maintenance is performed after a machine fails. This results in high maintenance costs and long downtimes. Join this webinar to learn about Amazon Monitron, an end-to-end system that uses machine learning to detect abnormal conditions in industrial equipment and enable predictive maintenance. We will provide an overview of how maintenance and reliability teams can improve the useful life of their machines/equipment, optimize resources (labor, inventory) and reduce operational costs by automatically detecting abnormal machine conditions as early as possible.
Learning objectives
- Proactively detect machine issues before they arise and take appropriate action.
- Streamline manual inspection time for technicians.
- Reduce costs and prevent expensive repairs through ISO and ML-based analytics.
Who should watch?
Reliability Managers, Plant Managers, Maintenance Engineers
Speaker(s)
Shalika Pargal, Senior Product Manager, Amazon Monitron
Learn More
To learn more about the services featured in this talk, please visit:
https://aws.amazon.com/monitron/
Intro body copy here about 2018 re:Invent launches.
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