Michelle Bangert interviewed Claire Hopkins, a document control specialist and author of a recent "Speaking of Quality" column for Quality magazine. Claire chairs the American Society for Quality's Next Gen Global Committee, comprising individuals under 40 or new to the quality industry.

Sustainable development frameworks encourage businesses to consider their impact and develop tools to demonstrate improvements. Environmental sustainability requires monitoring, learning, and innovating to respond to opportunities and risks.

Our workforce is undergoing major changes, especially in talent management and retention. Understanding and addressing these shifts will be our next mission.

Ensuring high quality in medical device manufacturing requires operational excellence, which optimizes efficiency and enhances product quality and compliance. Let’s explore some of the key elements and best practices.

In this article, we'll explore the causes of the skills gap, suitable training programs, finding assistance, getting started, ensuring long-lasting training, and preserving non-digital skills in a digital world.

Lithium-ion (Li-ion) batteries power many of our daily devices. However, manufacturing them requires scarce base metals and has supply and sustainability challenges. Battery recycling is vital for the supply chain. This article discusses using analytical technologies to maximize Li-ion materials and optimize production.

Liquid penetrant testing (LPT) is a versatile, portable, simple, and sensitive method for detecting surface defects. It can be used on a wide range of materials and is excellent at finding surface discontinuities such as defects, porosity, lack of fusion, or surface-breaking cracks.

The development of laser-based non-destructive testing (NDT) technology has benefitted various industries, including these three examples.

Quality 4.0 aligns quality management with Industry 4.0 to drive efficiencies, performance, and innovation. It's critical now more than ever to merge human skills with technology.

Determining liability and accountability for AI system actions is challenging. Organizations need a comprehensive approach addressing technical, ethical, legal, and organizational aspects of AI.