This Week on Supply Chain Now: August 24th – 28th

First, it was print, then radio and television, but with the advent of the internet, the effect of mass media multiplied a hundredfold. Today, information reaches the ends of the globe instantly, and some of the main drivers of that are video and podcasts, albeit aided by different social media platforms. Both are powerful mediums for communicating trends and news in any industry. Supply chain podcasts play a crucial role in disseminating information, serving as a powerful tool for enlightening the public. Delivering Authentic Expertise in a Cluttered Digital Landscape Industry professionals and even the general public seem to have an insatiable appetite for news, trends, and analysis of events impacting the supply chain, businesses, and the economy at large. Podcasts and videos offer people deep insights into the minds of industry experts and decision-makers on such topics as manufacturing, sourcing, supplier management, warehousing, logistics sustainability, and inventory management. Despite its many great qualities, social media can get noisy. For instance, on LinkedIn, many claim to be experts, sharing verified and unverified information about the supply chain industry. Finding the right source can be confusing, especially with the prevalence of irresponsibly published content and clickbait journalism. For stakeholders in 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…