GRA – A Traveler's Guide to Machine Learning and Artificial Intelligence (AI) in the Supply Chain

GRA – A Traveler's Guide to Machine Learning and Artificial Intelligence (AI) in the Supply Chain

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GRA – A Traveler's Guide to Machine Learning and Artificial Intelligence (AI) in the Supply Chain
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Carter McNabb discusses machine learning and artificial intelligence (AI), and the significant opportunities for Australian supply chains.

In this keynote presentation at ASCI 2019, Carter examines how machine learning and artificial intelligence are currently being used in supply chain management, as well as predictions for their use in the future.

His presentation explores emerging technologies using machine learning and artificial intelligence (AI) to deliver significant opportunities for Australian supply chains.

It develops their potential in all areas of supply chain management, from strategy to planning and execution.

01:06 – Skip introduction

05:06 – The volume, speed and variety of data are increasing exponentially

06:10 – Supply chains are becoming longer, more complex and more fragmented

06:44 – What are the implications of artificial intelligence (AI) and machine learning for the supply chain?

08:33 – What is artificial intelligence (AI) and machine learning in supply chain?

11:18 – What are we seeing in the artificial intelligence and machine learning supply chain market?

12:09 – How does this fit into the supply chain? Strategy, planning and execution

2:24 p.m. – AI and machine learning horizons. Strategic: what are some applications

7:15 p.m. – Planning: What are the applications?

11:09 p.m. – Execution: What are some applications? What do we see now?

11:52 p.m. – Clearmetal visibility for freight using AI video

25:13 – Autostore warehouse storage mechanism using AI video

26:26 – A path forward for AI and machine learning in supply chain management

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