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About This Webinar

Edge Machine Learning with Crosser and Ekkono - providing the ability to do incremental learning on streaming sensor data onboard a global fleet of devices.

Edge Machine Learning enables you to learn the normal state and behavior of your connected things, which is the baseline to detect anomalies, attribute what has the biggest impact on performance, predict coming events, and even simulate what if-scenarios.

In this webinar, we introduce the Ekkono ML module in Crosser module library. Crosser CTO, Goran Appelquist and Ekkono CEO, Jon Lindén we will show you how to design an edge data flow with the Ekkono ML module for predicting anomalies on machine data.

Agenda
  • Ekkono ML Module. Introduction and configuration
  • Designing a data flow with Ekkono ML Module
  • Configuring and optimizing the Edge ML data flow
When: Thursday, January 23, 2020 · 11:00:00 AM · Stockholm
Duration: 45 minutes
Language: English
Who can attend? Everyone
Dial-in available? (listen only): No
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 Crosser: Introducing Ekkono ML Module - Machine Learning 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.