The mpmX platform offers numerous possibilities for carrying out advanced analytics scenarios. Depending on the use case and existing infrastructure in the areas, machine learning or simulation models can be integrated into mpmX. Connectors to Data Robot, AutoML, Data Bricks, Azure, OpenAI and various others are available for this purpose. Via REST, it is also possible to integrate any system that also has an API. If you have already implemented machine learning or simulation models, e.g. based on Python, we can also integrate these via so-called SSE. mpmX then treats the Python script as its own source code. If you have identified an A.I. / M.L. use case, it is best to get in touch with one of your contacts at mpmX directly to work out an optimal solution for your use case.
Simulation Configuration.
Learn the machine learning and tthe ai configuration.
Learn the Insight Advisor.
Learn the what-if Analysis with AutoML.