For years, manufacturers have been told the future of Industry 4.0 lives in the cloud. Vendors promised plug-and-play AI that could analyze everything, automate anything, and transform the factory floor overnight.

Here’s something nobody saw coming: The generation most skeptical of AI isn’t the one that doesn’t understand it. It’s the one that understands it best.

Growing up in rural Pennsylvania, I didn’t have scientists for role models. In fact, I’m the first woman in my family to get a college degree, much less become a scientist.

Regular inspection is absolutely vital with industrial transmission systems. Just like the gearbox in an everyday car, components are prone to wear, misalignment, and fatigue—issues that can lead to machinery failure.

The conversation about generative AI (gen AI) is unavoidable in today’s business land

Quality has always been a defining metric in manufacturing when it comes to industry trust, brand longevity, and customer loyalty. Manufacturers are already expected to abide by stringent regulations.

From manufacturing and mining to hospitality and healthcare, computerized maintenance management systems (CMMS) have become all but essential.

Physical AI—the embedding of digital intelligence into physical systems—is a promising but sometimes polarizing technology.

In this article, I want to explore an idea that often is framed in moral terms but is actually a cybernetic imperative: the necessity of diversity for viable systems.

From the internet and smartphones to 3D printing, recent decades have ushered in general-purpose technology that increases efficiency and collapses the cost of routine tasks.