Quality assurance (QA) meets artificial intelligence (AI). How can they coexist safely? Integrating AI into QA brings opportunities and risks, especially in safety-critical environments. Balancing rigorous standards and human oversight is crucial.

The Digital Twin Consortium (DTC) Composability Framework provides a transformative approach to digital twin system development, focusing on interoperability, security, trustworthiness, scalability, and design reuse to align with businesses’ objectives and evolving needs.

In their upcoming session at The Quality Show South, Sophronia Ward, PhD and Mark Nash CSSMB, will discuss the best ways to use data, how to use software without letting it use you, and other ways to improve your manufacturing processes.

In 1969, I had a microphone perched next to the radio, prepared to record each Beatles song played, just to satisfy my obsession at the time. What resulted on my old reel-to-reel player was a series of songs missing the first five seconds of each.

Not long ago, IT integration projects were an intimidating task due to the historic number of failed projects. This is not the case today because the technology exists and when combined with proper implementation they are very successful.

Until recently, most consumer electronics from different companies were designed to be incompatible with one another. This has led to the average person realizing, to varying degrees, that they live in an Apple, Google, or Amazon-dominated household.

Manufacturers today understand the importance of an innovative, flexible and skilled workforce that is enabled by technology to make fast and efficient decisions and recognize and take advantage of new opportunities.