2007 2018 Big Data Manufacturing 
Enterra Insights
MAY 2, 2019
Mark Brohan ( @markbrohan ) explains, “As business-to-business and business-to-consumer e-commerce continues to grow, manufacturers, distributors web merchants and others are going to be competing for more modern warehouse space.”[4] According to Patrick, the right kind of warehouse is big and technologically advanced.
The Logistics & Supply Chain Management Society
JULY 20, 2020
Lockdown of cities and manufacturing plants have significantly impacted many industries’ supply chains. 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.
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KEPLER Consulting
APRIL 9, 2018
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. Smart manufacturing for the future. Retrieved March 26, 2018, from [link]. MacDougall, W.
Shipchain
DECEMBER 17, 2019
He a sought-after author, having written both best-selling books and timely pieces in Industry Week Manufacturing Network and Supply Chain Management Group. Patrick Burnson is the Executive Editor at Logistics Management and Supply Chain Management Review, a role he’s filled since 2007. Steve Banker. Patrick Burnson.
Material Handling & Logistics
OCTOBER 26, 2018
Participating in the 2018 roundtable (in alphabetical order) are: ? In recent years, firms both large and small have launched new “Data Science” or similarly named groups. Further, if one does a Google search on data science groups in private industry, numerous large industry groups formed just since 2007 appear.
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