Remove 2007 Remove Big Data Remove Conference Remove Sourcing
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Lifting The Gray Curtain

Supply Chain Shaman

One of the goals of the conference was to challenge the audience to redefine work. At the end of the presentation, I asked Allyson her perspective on open source analytics. Similarly, after the conference, I started working with a chemical company to formulate a supply chain strategy. Allyson’s presentation was just that.

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Reflections, Thank-you(s) and Rethinking the Future

Supply Chain Shaman

Last week I spoke at the CLX Logistics Conference in Philadelphia on the future of Supply Chain Management. This includes: Sensors coupled with data from the Internet of Things (IOT). Open Source Technologies (Examples include Hadoop, Spark, Kafka). As growth slowed post 2007 recession, companies fought back. 3D Printing.

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Building Outside-In Processes

Supply Chain Shaman

While traditional supply chain processes evolved from functional excellence definitions for source, make and deliver from the inside-out; to make the digital pivot and become more market-driven, companies need to define new supply chain processes outside-in. For example, in the recession of 2007, DuPont missed the downturn in the market.

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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 attended the Gartner conference in Phoenix and heard from many speakers and analysts. The key theme of the conference was that of a bimodal supply chain. View the full post or view the snippet below: I was lucky to attend the Gartner Supply Chain Executive Conference in Phoenix last May.

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Industry 3.X and TPM deciphered

KEPLER Consulting

The analysis of Big Data, the Internet of Things, artificial intelligence, virtual and augmented reality, and cyber-physical systems are considered the main levers of the next digital upgrade. Big Data analysis. Sources : Boud, A. 1999 IEEE International Conference on (pp. Cyber-physical systems.

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Why Is It So Hard to Find Good Help These Days?

Material Handling & Logistics

In recent years, firms both large and small have launched new “Data Science” or similarly named groups. As the phenomenon of Big Data has taken hold in the private sector, many firms which as recently as 10 years ago devoted minimal resources to large scale database mining and analytics have reversed course.