Scalable Telemetry Based Multiclass Predictive Maintenance Model

Community Manager

Jaya Mathew recently presented Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in R at the ICDSE conference. This conference was inter-disciplinary where the attendees were primarily from academia and shared their scholarly research and innovation. Due to the nature of the conference, the focus was on the methodology used to solve their domain-specific problem rather than the tooling needed to solve a large-scale problem.

 

Her talk at the conference was focused on outlining how a user or an organization would build a Scalable Telemetry based Predictive Maintenance Model. To set the context, she described how we routinely come across IoT devices with sensors embedded all around us, which collect a lot of telemetry data over time. 

 

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Read about it on the Azure blog.

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