Our first step is to have it available for AIMMS App Developers such they can integrate Python scripts into their models with the purpose to improve your overall application. The idea is to do this is a (more) general way such that other scripting languages can follow. Also, we want to assure developers can debug the scripts during development and integrations before deploying them (step 2).
Our second step is to enable you to deploy models on your AIMMS Cloud, or your AIMMS PRO on premise platform. This to assure we are empowering the end users of the Apps.
We foresee a number of use cases, for example
- Use of specific Python functions not available in AIMMS s.a. ML algorithms to e.g. create better forecasts to feed the model
- Ability to fetch and process data from other sources that is needed for your model
- ..
What use cases do you see for AIMMS with a Python integration? We love to hear from you.