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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

Agenda

  • 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

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  1. Sign up
  2. Login and start designing your data flows
  3. Run the flow in Crosser test environment or download local test node
  4. Test with real data

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