Jakub Tomaszewski
Senior Data Scientist at The HEINEKEN Company;
I am passionate about Data Science and have been working professionally in this area since 2013. My biggest professional interests are statistical learning and causal inference. I am a statistician by education and the most of my professional experience is in implementing machine learning based solutions to optimize business processes.
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.