How can machine learning models move from industrial data to real-world applications without adding unnecessary complexity?
Join Phoenix Contact and Cumulocity for a technical webinar exploring how MLnext and Cumulocity can work together to bring machine learning into industrial environments.
The session connects model creation with deployment across edge and cloud environments and includes a live end-to-end demonstration using anomaly detection.
What you can expect
- See how time-series machine learning models can be created with MLnext Creation
- Explore different options for running inference from edge to cloud
- Follow a live workflow from model creation to deployment and visualization in Cumulocity
- Learn how industrial data, IIoT and machine learning come together in a practical application
Event information
Date: November 18, 2026
Time: 10:00 – 11:00 CET
Language: English
Duration: 60 minutes
Speakers
- Dr. Kanishk Chaturvedi, Director, AI Ecosystem, Cumulocity
- Aaron Raab, Product Manager, Device Management, Cumulocity
- Jan Lippemeier, Data Scientist, Phoenix Contact
- Gorden Platz, Solution Engineer, Phoenix Contact
Webinar
Industrial AI Without the Complexity: Rapid Model Deployment with Cumulocity & Phoenix Contact
Language: English
18 November 2026
10:00 am (CET)
Speaker: Dr. Kanishk Chaturvedi, Aaron Raab, Jan Lippemeier, Gorden Platz
