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Policies and procedures are the backbone of traditional quality management. And they have three fundamental problems.

Quality leaders are rethinking QMS priorities in 2026. Here are the key takeaways from the Gartner® Magic Quadrant™, and what “Ability to Execute” means for real-world quality performance.

It’s called the principle of two weaknesses. It is a strategy in chess. It was developed by Grandmaster Aron Nimzowitsch and detailed in the book, “My System,” back in 1925 and still considered a core strategy in chess to this day.

Data centers are evolving at an unprecedented pace, driven by the explosive growth of AI, cloud computing, and other high-performance applications.

Manufacturers increasingly want to use artificial intelligence (AI) and advanced analytics to improve quality and reduce waste.

Nearly 90% of material resources across the European Union are lost after their first use, highlighting how linear today’s manufacturing economy remains. 

Today, quality is an economic engine in its own right—driving productivity, customer loyalty, and profitability.

Manufacturing has always required thoughtful planning. What sets today apart is the increased complexity we face.

Up until the early 2000s, metrology was mostly a pen-and-paper-based profession. Inspection reports, machine data, and charts were all hand-recorded, often scattered across departments. Data existed, but analyzing trends over time was slow, error-prone, and sometimes just impossible, making it fully disconnected from decision-making.

Manufacturing has entered a new phase in which measurement alone is no longer sufficient.