Factory ML/ML ops

With FactoryML, machine learning models can function as advanced data-driven sensors in the production line – directly accessible from the PLC through OPC-UA. FactoryML supports the principles of ML Ops for industrial systems and allows working with machine learning in production systems. ML models are developed and evaluated with tools such as Jupyter notebooks, Conda etc. And central parts of ML operations can be automated (e.g. Deployment of models, versioning, monitoring, model evaluation etc.)