Ryan Williams

During the Revolutionary War it was common for fledging Americans to melt lead and pewter household implements and recast the liquid into ammunition. It was a simple call: You didn’t send soldiers into battle unarmed. Today’s musket balls are the masks and other personal protective equipment (PPE) that shield our incredibly courageous health care workers on the frontline of COVID-19. This PPE is in short supply both nationally and worldwide. America remains committed to putting the right tools into the hands of those who are doing so much to protect us. And the 100 Million Mask Challenge is a big step in that direction. Originally launched by Providence, in Washington State, the 100 Million Mask Challenge now calls on manufacturers, the business community and individuals nationwide to coordinate their efforts to rapidly produce PPE on the large scale needed by our nation’s caregivers. Since scaling this initiative nationwide, tens of thousands of visitors have checked out AHA’s expanded website, many of which have been manufacturers downloading the specs to make masks, face shields and gowns, or hospitals seeking the latest guidance on hand sanitizers and best practices from around the field for PPE decontamination. As AHA continues to grow the…

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…