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Supply Chain Leadership Driving Industry 4.0 & Resilience During Crisis – LogiSYM July 2020

The Logistics & Supply Chain Management Society

Machine learning and big data analytics augments critical roles in supply chain efficiency, problem solving and cost saving. Data acquisition and filtering and scenario analysis are time consuming practices in supply chain. LogiSYM Supply Chain Magazine – July 2020. Efficiency and cost management. Olhager, J.,

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Top 2016 Supply Chain Strategy Posts from the Supply Chain Link Blog

Arkieva

View the full post or view the snippet below: I got the idea for this blog post after reading Shaun Snapp’s LinkedIn post on the topic of big data. In the post, he correctly argues that the case for big data is sometimes exaggerated. Fortune Magazine asserts, “Here Comes the Biggest Stock Market Crash in a Generation.”

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The Top Logistics and Supply Chain Journalists & Thought Leaders to Know for 2020

Shipchain

His background includes web journalism, magazine editing and publication, video production, newsletter authorship and more. Abbie Stutzer is a freelance writer and editor, including articles that have been published on Courier Magazine. Keith Biondo is the publisher of Inbound Logistics Magazine, a role he has fulfilled since 1981.

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Marketing: Opportunities and Dangers of Social Media

Enterra Insights

2] Conversely, Kevin Kelly ( @ kevin2kelly ), founding Executive Editor of Wired magazine, tweeted, “So-called influencers don’t influence. ” It should come as no surprise that in the Digital Age, big data can be used to help brands identify promising influencers.