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Brianna White

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Jul 30, 2019
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Many large enterprises use one form or another of a supply chain application to help manage their supply chains. Supply chain vendors have been touting their investments in artificial intelligence (AI) for the last several years. In the course of updating our annual research on the supply chain planning market, I talked to executives across the industry. Alex Pradhan, Product Strategy Leader John Galt Solutions, told me that “all planning vendors have bold marketing around AI.” But the trick is to find suppliers with “field-proven AI/ML algorithms” that “have been delivered at scale.”
Further, while artificial intelligence helps solve certain types of problems, Jay Muelhoefer - the chief marketing officer at Kinaxis pointed out - optimization and heuristics work better for other types of planning problems. This article, which is focused on the different types of artificial intelligence used and the types of problems they are solving, is aimed at helping practitioners cut through the hype.
Let’s start with a definition: any device that can perceive its environment and takes actions that maximize its chance of success at some goal is engaged in some form of artificial intelligence (AI). AI can refer to several different types of math. But, in the supply chain realm, machine learning (ML) is where most of the activity surrounding artificial intelligence has been focused.
Continue reading: https://www.forbes.com/sites/stevebanker/2022/02/24/companies-improve-their-supply-chains-with-artificial-intelligence/?sh=1ab7eb4b3c86
 

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