Bob Bova

As Kelly Barner, host of Dial P for Procurement here on Supply Chain Now and host of The Sourcing Hero, says, “The volume of business content being created, shared and discussed every day can feel overwhelming, especially if you are trying to stay on top of best practices and make the most of your professional network. How we choose to spend our scarce listening and watching time is an important decision, and with many (many!) options, each content creator has to find a way to bring unique perspectives and value to their community.” Our CEO, Scott Luton, was recently invited to be Kelly’s guest on The Sourcing Hero podcast, and shares why it is just as important to understand a professional’s journey as it is to listen to their point of view on their area of expertise, the role of business media in helping individuals and teams deal with the challenges they face on a daily basis, and why we all need to look for and celebrate good news as often as we can. Listen to the Podcast Episode Here.

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…