hybrid technology is optimized to enable automated learning.
Once the deterministic
backbone is defined for a specific process, the machine learning features of the model can be used to automatically group data into subgroups characterized by similar correlation
structures, while continuously refining the models once new data is available.
Machine learning models are then effortless transferred and automatically integrated into the deterministic backbone.