Stanley van de Meent
Data Scientist at the HEINEKEN Company with a proven track-record in building optimization models combined with machine learning in production.
Sessions
Imagine leveraging AI to make critical decisions, only to find that your perfectly optimized solution causes more problems than it solves. This talk uncovers the intriguing yet challenging fusion of Machine Learning (ML) and Mixed Integer Linear Programming (MILP). We will delve into how combining these powerful tools can lead to breakthroughs—or disasters—if not managed carefully. From misaligned objectives to feedback loops spiraling out of control, real-world scenarios will illustrate where things can go wrong and how to avoid these pitfalls. By the end, you will have a roadmap for harnessing this powerful combination without falling into common traps.