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.

“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.

Sometimes optimization specialists combine different existing techniques to tackle a new type of problem. This is the case for flow network analysis and the facility location problem by combining them to flow location networks. Let’s see how that works and what can be solved this way.

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.

As promised, we don’t settle for regular heuristics: we make them meta! We explain what that means and how it works in our new episode.

Sven always sees things through the lens of an optimizer. What uplift effects on the mobility services business might be possible with the help of optimization.