“Let’s use the cloud to solve it faster…” Sounds easy, but does it really meet the expectations when it comes to solving optimization problems? It actually can, but there are some aspects to think about before and we show which ones they are.

Optimization projects are complex. How can we make sure, that our projects are going in the right direction? We divide our projects into 3 phases: the prototype, the minimum viable product and the fully productive product. Let’s see what the first phase is about and what we achieve with it.

It seems virtually impossible to find a model for our decision-making which takes all details into account. In this episode we demonstrate how data abstraction can help to model a problem, thus making it the core of successful optimization.