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Machine Learning and the Business of Tomorrow

Enterra Insights

Louis Columbus ( @LouisColumbus ) explains, “Enterprises are striving to find greater meaning in the massive amounts of data they generate and save every day. ” Machine learning and the supply chain. ”[5] The potential uses of machine learning in the supply chain are only limited by one’s imagination.

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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. My speech also focused on how current technologies are rapidly becoming obsolete due to market demands to do more with less and make better decisions. Open Source Technologies (Examples include Hadoop, Spark, Kafka).

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Predictive Analytics: Supply Chain’s Cloudy Crystal Ball

Enterra Insights

One of the new tools available to decision makers is predictive analytics. By forecasting future supply chain and logistical events, companies can gain a competitive advantage and prevent monetary loss due to inaccurate stocking, and mismanagement of goods, deliveries, and time.”[2] ”[4].

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6 Recent Trends in Manufacturing Technology to Increase Agile Responsiveness, Continuous Improvement & Customization

GlobalTranz

A Quick Recap of Recent Trends in Manufacturing Technology to Think About 2017. Although apps and smart devices will make an impact in manufacturing technologies this year, a few other recent trends in manufacturing technology will dramatically redefine industry standards. Green Manufacturing Will Replace Existing Methodologies.