To the untrained eye, it is not immediately obvious whether using a solver is an easy step or impossible. Let’s take a look at problem complexity, scalability to our problem size.

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.

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.