Panel Discussion. "Here Today, Better Tomorrow" - Machine Learning in Practice & Supply Chain.

Heuristics for Mixed-Integer Optimization through a Machine Learning Lens, Andrea Lodi, Cornell Tech

Same-Day Delivery with Fair Customer Service, Barrett Thomas, University of Iowa

Panel Discussion. "Here Today, Better Tomorrow" - Machine Learning in Practice & Supply Chain.

How to Make Sure Machine Learning Has an Impact on Supply Chains, Polly Mitchell-Guthrie, Kinaxis

From Small to Large data–How Can We Leverage Synthetic Data for ML in Ops & SCM, Richard Pibernik

Algorithmic Tools for US Congressional Districting: Fairness via Analytics, David B. Schmoys

Can Deep Reinforcement Learning Improve Inventory Management?, Joren Gijsbrechts

Predicting Human Discretion to Adjust Algorithmic Prescription, Jiankun Sun, Imperial College

Almost Matching Exactly for Observational Causal Inference, Cynthia Rudin, Duke University

Opportunities for Ethical ML and Supply Chains, Swati Gupta, Georgia Tech

AI/ML Applications for Industry: The Proven and Future Direction, Michael Watson, Coupa Software

Data-driven Stochastic Vehicle Routing Problem & Job Shop using R.L, Martin Takac