

813: Solving Business Problems Optimally with Data, with Jerry Yurchisin
Aug 27, 2024
Jerry Yurchisin, a mathematical optimization expert from Gurobi, joins the conversation to explore the power of optimization in solving complex business challenges. He discusses engaging examples like the Burrito Optimization Game, explaining its real-world applications. Key differences between machine learning and optimization are highlighted, emphasizing how the latter can provide clear prescriptive solutions. Yurchisin also touches on the integration of large language models in optimization, advancements in GPU technology, and the complexities of NP-hard problems.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12
Intro
00:00 • 3min
Exploring Optimal Decision-Making Through Burrito Cart Placement
03:19 • 4min
Navigating Decision Complexity
07:19 • 6min
Harnessing Mathematical Optimization for Business Problem Solving
13:00 • 2min
Harnessing Mathematical Optimization
14:43 • 11min
Unlocking Optimization: Tools and Techniques
25:22 • 9min
Navigating Optimization: Learning and Tools
34:21 • 10min
Optimizing Language Models with GPUs and CPUs
44:48 • 26min
Navigating NP-Hard Problems
01:10:41 • 6min
Advancements in Computational Optimization: Balancing Performance and Complexity
01:17:07 • 5min
Navigating NP-HARD Challenges and Optimization Evolution
01:22:00 • 17min
Harnessing Optimization in Data Science
01:38:32 • 5min