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June 24, 2021
This Week In Supply Chain Now: June 21st – 25th
It’s a supply chain summer! Check out all the latest conversations, interviews, and episodes we released this week here at Supply Chain Now. On Monday, we released 3 new episodes! On this episode of Supply Chain Now, Ratelinx’s Nate Endicott, Senior Vice President of Global Sales and Alliances, and Andrew Hooser, Vice President of Customer Solutions, discuss their company’s journey with Co-hosts Greg White and Scott Luton. On This Week in Business History, host Scott W. Luton picks up on the story of 3 legendary pioneers: Marie Curie, Alan Turing and Ed Bradley. On Supply Chain Now en Espanol, host Enrique Alvarez welcomes special guest Demos Perez to the podcast to get an update on supply chain and logistics in Panama and the rest of Latin America. On Tuesday, Mike Griswold, Vice President of Research at Gartner, joined our hosts Scott Luton and Greg White on the Supply Chain Now podcast to talk about the latest in retail supply chains from an analyst’s perspective. On Wednesday, Gifts for Good’s Chief Impact Officer Jenise Steverding joined our Logistics with Purpose podcast to share how she melded a knack for logistics with a propensity for giving back with hosts Enrique Alvarez and…
supply chain automation
October 25, 2024
Automation Advancements: 3 Businesses Leveraging Automation for Optimization
Prospects of supply chain automation have the industry abuzz. It’s even become a major sticking point in the International Longshoremen’s Association contract negotiations with the United States Maritime Alliance. The dockworkers do not want ports to automate processes out of fear they will lose their jobs to machines. Today, there are seemingly endless possibilities for optimization. Terms like generative artificial intelligence and machine learning have become commonplace in discussions about ways to gain efficiencies and reduce costs. Can man and machine work together as businesses leverage automation for optimization? Beyond the Buzz: Understanding the Automation Imperative Machine learning, a subset of artificial intelligence (AI), is described by Business News Daily as a later-stage development in which machines take in data on their own and then analyze it. Automation, on the other hand, is fixed on repetitive tasks; after a job is performed, an automation system “thinks no further.” The Business News Daily article explained that “automation involves an entire category of technologies that provide activity or work without human involvement,” while AI involves “a machine exhibiting and practicing something similar to what we describe as human thinking – that is, the ability to interact in thousands of ways with the…