Optimization and Machine Learning can enhance each other and demonstrate what their combined strength can achieve. A perfect example of this is linear regression. We show you how this works and what you can do with it in this episode.

A good set of data is the core of every optimization project. But why is so crucial, to use real data already when still implementing the software? Let us share some insights we gained on data during our optimization projects.

Optimization projects are complex and for our customers every optimization project is a journey into unknown territory. That’s why we divide our projects into 3 phases: the prototype, the minimum viable product and the fully productive product. After we have built a prototype in phase 1 and the Minimum Viable Product in phase 2, now comes the freestyle: all additional wishes and requirements are built in.