Presented by Professor Goos Kant (Professor of Logistic Optimization, Tilburg University; Managing Partner, ORTEC)
Thanks to all great developments in mathematics and computing power, we are able to solve more complex problems within a reasonable amount of time. Machine learning and other AI-techniques can boost the power of OR. But are we also able to explain the outcome to the industry? Optimal is not always logical, which leads to challenges both in modeling and in implementation. In this presentation I like to share my thoughts, based on my professorship “Logistic Optimization” at Tilburg University and my long experience (in parallel) as “Optimization Evangelist” at ORTEC. ORTEC is a global and leading partner in data-driven decision support.