Special Offer: Get 50% off your first 2 months when you do one of the following
Personalized offer codes will be given in each session

Machine Learning for the Factory Floor

About This Webinar

The use of Machine Learning models within Industrial IoT is one of the major topics for industries today. How to predict and act upon data anomalies on your factory floor and/or remote assets, to optimize processes and increase efficiency.

In this webinar, Dr. Göran Appelquist, industry expert and CTO at Crosser, will introduce you to why running ML modules at the edge and how low-code technology can simplify edge deployment.

During the presentation you will have the opportunity to see how other companies have radically simplified the orchestration of edge deployments at scale by using the Crosser Platform.

Agenda
  • The Power of Machine Learning and How to create value
  • Main Steps to Get Started with Machine Learning
  • 2 real life use case examples from Crosser Customers
  • Overview of the Crosser low-code Platform
Who can view: Everyone
Webinar Price: Free
Featured Presenters
Webinar hosting presenter Göran Appelquist (
CTO
My career started in the academic world where I got a PhD in physics by researching large scale data acquisition systems for physics experiments, such as the LHC at CERN. After leaving academia I have been working in several tech startups in different management positions over the last 20 years. In most of these positions I have stood with one foot in the R&D team and another in the product/business teams. My passion is learning new technologies, use it to develop innovative products and explain the solutions to end users, technical or non-technical.
Hosted By
Crosser Webcasts webinar platform hosts Machine Learning for the Factory Floor
In a length of a coffee break, Crosser Webcasts will serve you insights and demos regarding Stream Analytics & Integration technologies, 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.
Attended (33)
Recommended