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.

Download the slides

Compute

Service How To

December 19th, 2018 | 1:00 PM PT

Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.

Register Now>

Containers

What's New / Cloud Innovation

December 11th, 2018 | 1:00 PM PT

EMBARGOED

Register Now>

Data Lakes & Analytics

Webinar 1:

What's New / Cloud Innovation

December 10th, 2018 | 11:00 AM PT

EMBARGOED

Register Now>

Webinar 2:

What's New / Cloud Innovation

December 12th, 2018 | 11:00 AM PT

EMBARGOED

Register Now>