Applications of Machine Learning in the Supply Chain

Jun 26, 2019
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Machine Learning in Supply Chain

Dr. Sebastian explores the potential of machine learning in supply chains and logistics. We’ll see that modern machine learning methods, often in black box fashion, allow us to move from model-driven decision-making to data-driven decision-making. This results in a high level of flexibility and agility, which is increasingly important in fast-paced supply chain and logistics environments.

Dr. Sebastian Pokutta is an Associate Professor at the Stewart School of Industrial & Systems Engineering and Associate Director of the Center for Machine Learning at Georgia Tech.

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