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Understand Edge MLOps - Life-cycle Management of ML in the Edge

Thu, Jun 4, 2020 · 11:00 AM · Stockholm
About This Webinar

The use of machine learning (ML) models is becoming more and more common in industrial IoT applications, especially for use cases such as anomaly detection and predictive maintenance.

In this webinar we will introduce you to remote deployment and life-cycle management of ML models running at the edge. Using the Crosser Edge Director to radically simplify the orchestration of edge deployments at scale.

Welcome to Crosser webcasts - Where Edge Analytics meets Industry 4.0

  • Collect and prepare data to deliver results with your ML model
  • Test and train ML models for edge deployments
  • Deploy and maintain your ML model on one or many devices
Who can view: Everyone
Webinar Price: Free
Featured Presenters
Webinar hosting presenter Johan J
CMO & Co-Founder
Johan has 15 years background working with marketing in all possible type of projects. A true entrepreneurial spirit operating between strategic and hands-on details. He leads our marketing efforts as well as the product UI design.
Webinar hosting presenter Mikael I
Solution Architect | Product Manager
Hosted By
Crosser Webcasts webinar platform hosts Understand Edge MLOps - Life-cycle Management of ML in the Edge
In a length of a coffee break, Crosser Webcasts will serve you insights and demos regarding Edge Analytics & Integration use cases and business cases.

For those who don´t have time for coffee, we suggest you sign up for the webcast of your interest to get access to the recording afterwards.
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