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Learning solvers and be done
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Optimization projects are complex and for our customers, every optimization project is a journey into uncharted territory. 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. After the prototype in the last video, let’s see why we have phase 2 for the minimum viable product.
Most of the time, when we talk about optimization, it’s about cost, that is, money. But with optimization you can achieve so much more than just saving money: For example, minimizing Co2 emissions. We show how it can be done.
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.
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