So you say we need a lot of data? That we have to collect from thousands of devices, for years, to have statistical data, which will require a cloud platform to process all that data? We disagree! At least when it comes to leveraging the true potential of IoT – automation. Let us show you how you can get instant, real-time insights from learning the normal behavior of an individual unit, to detect when something deviates. Individual, incremental learning at the edge enables personalized predictive maintenance, auto-installation, self-optimization and much more.
 
Join this 60 min deep dive into the state of the art technology “edge machine learning”. Jon Lindén and Linn Sidahl from Ekkono Solutions will give you an overview of the IoT and IIoT industry of today, from real, industrial use case experiences. Jan Bosch, Professor of Software Engineering at Chalmers University of Technology, will join the workshop and share his perspective on this and different and complementary approaches where edge + batch learning can be a first step to insights and validation of later conclusions.
 
This deep dive will focus on the benefits and opportunities of edge machine learning!

Time for event: 4th of May, 14:15 to 15:15