How AI's Small Data Can Transform Your Supply Chain Decision-Making | AI Interview #1 w/ Assistant Professor Anthony Roath, Auburn University
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This is the first entry into our series: “AI: The Good, The Bad, and The Human in the Supply Chain”. In this series, we will tackle just what the title states... The good, bad, and human aspects of AI and only the necessary information that you need to take action in your organization concerning this rapidly growing topic. Join Alex Reneman on his journey to find practical information on Artificial Intelligence for warehouse managers and supply chain executives alike on this new episode of Heads Up.
Anthony Roath, Assistant Professor at Auburn University, starts off our new series by diving into the practical use of AI within a distribution center, some common misconceptions of the new dynamic between a human workforce with implemented Artificial Intelligence, and how small data is key to the proper, actionable use of AI.
Professor Roath takes us through the necessary considerations when implementing AI in your warehouses and DCs. He emphasizes a bottom-to-top approach to AI in your organization so your practical use case of AI is not lost by starting with a high-level strategy. Whether you’re managing the production floor or in the C-suite,, this episode dives into how you can utilize AI not only to get data – but specifically the necessary data you need to make the best business and tactical decisions.
Read Assistant Professor Roath’s and coauthor's report:
Follow Alex Reneman on LinkedIn: https://www.linkedin.com/in/alex-reneman/.
For inquiries related to Heads Up, email:
podcast@mountainleverage.com
Watch here:
https://youtu.be/0GXnsWX9Y-s
10 episodes