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 - Turning Raw Data into Actionable Insights

About This Webinar

Learn more about the power of Machine Learning and how to create value.

Join us for an insightful webinar on how Machine Learning is transforming the manufacturing industry. Discover how to boost productivity, optimize processes, and increase efficiency on the factory floor through real-world examples and case studies.

David Nienhaus, Senior Solution Engineer at Crosser, will share his knowledge and experience on this topic. You will be introduced to why running ML modules at the edge is crucial and how low-code technology simplifies edge deployment and accelerates implementation.

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
  • Unlocking the Power of Machine Learning to Drive Value
  • Main Steps to Get Started with Machine Learning
  • Two Real-Life Use Cases from Crosser customers
  • Overview of the Crosser Low-Code Platform for Seamless EdgeML Deployment
Who can view: Everyone
Webinar Price: Free
Featured Presenters
Webinar hosting presenter Elena F
Marketing Manager
Webinar hosting presenter David N
Senior Solution Engineer
David is a Senior Solution Engineer at Crosser. He has over 10 years experience working with software integration and digitization projects for critical infrastructure.
His engineering background gives him the understanding and focus needed to solve customer use cases in the most efficient and successful way.
Hosted By
Crosser Webcasts webinar platform hosts Machine Learning for the Factory Floor - Turning Raw Data into Actionable Insights
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