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Don’t Start a Supply Chain Machine Learning Project Before
Don’t Start a Supply Chain Machine Learning Project Before
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Don’t Start a Supply Chain Machine Learning Project Before

Nowadays, machine learning seems to be everywhere you look, from television commercials and supply chain conferences to university degrees. But despite its buzzword status and the fact that it’s been around since the late 1950s, this technology is still shrouded in mystery for many supply chain practitioners. According to Gartner, “While machine learning promises transformational benefits in the supply chain, current expectations of short-term readiness and benefits remain unrealistic.”1 In this hyped-up stage in technology maturity, it’s crucial to be well informed so you can see beyond the headlines and apply the technology correctly to solve business problems and deliver real value.
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Nowadays, machine learning seems to be everywhere you look, from television commercials and supply chain conferences to university degrees. But despite its buzzword status and the fact that it’s been around since the late 1950s, this technology is still shrouded in mystery for many supply chain practitioners. According to Gartner, “While machine learning promises transformational benefits in the supply chain, current expectations of short-term readiness and benefits remain unrealistic.”1 In this hyped-up stage in technology maturity, it’s crucial to be well informed so you can see beyond the headlines and apply the technology correctly
to solve business problems and deliver real value.
Rob Kaufholz, VP of Product Innovation, ToolsGroup
May 06, 2021
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