Webinar
Industrial AI without the complexity
In this session, Cumulocity and Phoenix Contact demonstrate how to modernize industrial operations by bridging no-code model training with a scalable IoT platform backbone. Learn how domain experts can build machine learning models using Phoenix Contact MLnext and seamlessly operationalize them across cloud and edge environments powered by Cumulocity.
We will explore the architectural blueprint for flexible model execution and show a live, end-to-end demo of training an anomaly detection model using MLnext and serving inferences directly within Cumulocity.
What You Will Learn:
- Eliminating the Data Science Bottleneck: How domain experts can build and validate ML models on time-series data using no-code tooling without custom scripts.
- Flexible Edge-to-Cloud Architecture: A practical overview of where to run inference—evaluating managed microservices, cloud streaming analytics, and local edge execution.
- End-to-End Implementation: A live walkthrough demonstrating model creation in MLnext Creation through to automated deployment and real-time visualization on Cumulocity.
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