The mpmX platform offers numerous options for making predictions:

Option 1: Connection to Python, for example

This enables perfect interaction with the data scientists in your organization. Existing libraries can be reused to train a wide variety of ML models and use them for predictions.

•Step 1: Connection to Python with the help of an SSE

•Step 2: Importing the mpmX Python scripts (e.g. with neural network for process prediction - prediction of the next activities of an open case and the time until these occur)

•Step 3: Importing the mpmX Analytics scripts with which the data is transferred to Python

•Step 4: Importing the prediction dashboards from mpmX

Variant 2: Connection to existing ML platforms

Connection of existing ML platforms such as DataRobot, Azure ML and co via the connectors provided in order to integrate into the existing ML landscape.