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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
When: Tuesday, December 10, 2019 · 11:00:00 AM · Stockholm
Duration: 30 minutes
Language: English
Who can attend? Everyone
Dial-in available? (listen only): Yes
Dial-in Number: 1 (312) 248-9348
Dial-in ID: 730914#
Dial-in Passcode: 6911#
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.
Hosted By
Crosser Webcasts webinar platform hosts Learn about Edge MLOps -Life-cycle Management of ML models running at the edge
38 reviews
In a length of a coffee break, Crosser Webcasts will serve you insights and demos regarding Edge Computing use cases and business cases. For those who don´t have time for coffee, we suggest you submit the webcast of your interest and get the free recording afterward.