Mathematical Optimization in the Agentic AI Era, with Gurobi’s Jerry Yurchisin

Added on by Jon Krohn.

LLMs will confidently tell you they've optimized your entire business while ignoring the one constraint that could cost you millions. Today's episode with Jerry Yurchisin is all about a technique that makes breaking a constraint mathematically impossible.

More on Jerry:
• Manager of Decision Intelligence Strategy at Gurobi Optimization, a "mathematical optimization" solver that's used by the vast majority of Fortune 100 companies.
• Has over a decade of experience in operations research, data science, and visualization... and specializes in enhancing decision-making.
• Prior to Gurobi, Jerry worked in consulting (OnLocation, Inc. & Booz Allen Hamilton) where he focused on mathematical optimization, machine learning, statistics and simulation.
• Taught statistics and operations research at The University of North Carolina at Chapel Hill and graduate math at Ohio University (he also holds Master's degrees from both of these institutions).

In this episode, Jerry:
• Lays out where mathematical optimization fits in the agentic AI era (hint: LLMs formulate problems and solvers like Gurobi guarantee the answers).
• Shares striking mathematical-optimization applications spanning energy grids, retirement planning... and the model that powered @null's women's team to a gold medal at the Paris Olympics.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.