Nadia Delanoy, PhD

Another great week here at Supply Chain Now! Have you listened to all the episodes? If not, no worries! Check them all out here: We added a special Saturday episode on May 9th and featured another speaker from the 2020 AIAG CR Summit, Eric Kane with Bloomberg, and his insights from the conference.   On Monday, we continued our Supply Chain Super Trends series with Sarah Barnes-Humphrey with Let’s Talk Supply Chain. Supply Chain Super Trend #3 focused on a holistic approach to supply chain TALENT.     Mike Griswold with Gartner joined us for another excellent livestream last week, and we published it as a podcast episode on Tuesday. He shared his latest observations on how COVID-19 is impacting global supply chains. A MUST-listen!     We continued our interviews with the speakers from the AIAG CR Summit on Wednesday, with great insights from Dr. Assheton Carter with TDI Sustainability.     Thursday we published our popular Supply Chain Buzz, with Scott and Greg sharing and discussing the latest news and events in Supply Chain and beyond.     And on Friday, we wrapped up the interviews with the extrordinary speakers from the AIAG CR Summit, with Brian Rich…

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…