DataHow’s

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.

The updated

Machine learning models are then effortless transferred and automatically integrated into the deterministic backbone.