Aneesa Muthana

Leveraging ERM to navigate emerging tariffs and supply chain risks With recent tariff hikes and geopolitical shifts, supply chain risks are more urgent than ever. 63% of businesses reported higher-than-expected supply chain losses despite increased risk management efforts in recent years. Leveraging ERM to navigate emerging tariffs and supply chain risks explores the distinct challenges of a stressed global market and shows how ERM can enhance efforts in identifying, escalating, and responding to emerging supply chain threats.   Key areas explored in the guide:   Supply chain risks affected by increased tariffs. Why engaging ERM to address supply chain risks is crucial. 8 proactive strategies for addressing emerging supply chain risks.   Ready to start engaging ERM to respond to emerging supply chain risks with agility and speed?   Download the free guide now

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…