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The Digital Supply Chain: Making The Leap With A Ball and Chain

Supply Chain Shaman

Last week, I spoke on the evolution of the digital supply chains and my vision for Supply Chain 2020 at the World Trade Group Event in Miami. I had touched some nerves with my five predictions for 2020: Digital, Outside-in Value Networks. I believe the demographics shifts shown in Figure 1 will transform Supply Chain 2020.

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Google Will Acquire a 3PL – And Other Supply Chain and Logistics Predictions for 2015

Talking Logistics

Three years later, he stayed with his $300-a-barrel prediction, but shifted the timeframe to 2020 (see the CBS News article, Another $300 Oil Prediction — and Why This One Matters ). Brent crude oil prices Dec 2009 – Dec 2014 (Source MoneyAM.com). Big Data and Analytics for Oil and Gas Transportation.

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The Evolving Supply Chain Skills of the Workforce

Material Handling & Logistics

Robotics, Big Data manipulation, machine learning and artificial intelligence techniques are enabling machines to match or outperform humans in a range of work activities, including ones requiring cognitive capabilities,” explains Richard E. In fact, a study from 2009 found that nearly 96% of all managers and executives are extroverts.

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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. 2006-2009 I did a Ph.D. Will Big Data change the world? Read More ».

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Synthetic Data and Natural Results

Enterra Insights

As Lucini and Shaked note, one of the primary drivers behind the use of synthetic data is privacy. Science writer Anjana Ahuja ( @anjahuja ) reports, “In an algorithm-driven world where data is king, one misstep can lead to a royal mess. 4] Nicole Laskowski, “ Synthetic Data ,” TechTarget, February 2018.

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Why Do Businesses Still Have Data Silos?

Enterra Insights

Footnotes [1] Mark Adams, “ Why the future of data management requires us to remove fragmented thinking ,” Data Center Dynamics, 10 May 2021. [2] 3] Gillian Tett, “ The lessons: The dangers of silo thinking ,” Financial Times, 14 December 2009. [4] 4] Keith D.

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