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.

Did you know that quantum computers actually exist to work with? And they are incredibly fast! But is that true for all algorithms?

In our 25th episode of One more thing about, we take you behind the scenes and show you how an episode is made.

There are many stories circulating about quantum computers and their capabilities – the holy grail of computing, so to speak. In this episode, we take a look at how quantum computers work and how they differ from normal computers. Curious to learn more? Enjoy our latest episode!

Even experts mix up these terms and use them interchangeably. But what is the difference exactly? We figure it out in our new episode of “One more thing about..”

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.

There are many ways to make a project go awry. In today’s video, we explain three basic rules that almost guarantee your optimization project will screw up. If you’re a fan of epic project failures: Here comes the recipe!

Heuristics – is this just another buzzword? Why is it used so often when talking about optimization and what does it have to do with pizza? We explain what a heuristic is and how it works.