The arrival of artificial intelligence (AI) in quality management has been met with a mixture of hype and skepticism. Is it just a faster anomaly detector, or is it truly transformative?

Your company works hard to bring quality products to market, but your current inefficient development process slows you down.

For decades, the one-dimensional (1D) barcode, the familiar pattern of black lines found on virtually every product, has been the universal language of global commerce.

The global coding- and marking-equipment market is on a clear growth path.

To stay profitable as a manufacturer, you have to run a tight ship. I’ve been lucky enough to visit with owners and key people at thousands of manufacturers all over the world.

I’m thrilled to announce something we’ve been working on for a year and a half—a project that took us 30,000 miles across America and into the heart of industries that most people never see. On Nov.

What once seemed like the future of work is fast becoming present-time reality on factory floors worldwide as artificial intelligence (AI) evolves from experimental technology to practical tools that directly affect daily operations.

In motorsport, performance isn’t defined by a single factor. It’s the sum of countless details, each playing a decisive role when pushing speeds up to 200 mph (320 km/h).

In this article I want to explore an observation on how we make distinctions and what this reveals about the structure of our thinking.

The use of artificial intelligence (AI) models, specifically generative AI, is growing. This has raised concerns about the effects on jobs in various professions. The quality profession is among them.