The healthcare technology management (HTM) industry is facing a looming labor shortage and must attract enough skilled professionals to meet future demand.

The complexity of today’s manufacturing operations and ever-evolving digital disruptions, including the biggest of all, artificial intelligence (AI), require standards that set the pace and keep organizations around the world aligned with what quality looks like. 

(Renishaw: West Dundee, IL) -- The global engineering technologies company Renishaw is introducing its multipurpose RMP400S at the IMTS 2026 and AMB 2026 ex

Every industry has blind spots. Sometimes the problem is not a lack of expertise, or even information, but of connection.

Speaking with experts who love their jobs usually makes you aware of two things simultaneously: 1) how much you don’t know, and 2) how much you’d like to know. My conversations with Prashant Darisi and Vick Vaishnavi were no exception.

Aerospace qualification standards continue to shift as component designs grow more intricate and real-world forces become better understood.

The U.S. Food and Drug Administration scrutiny of AI and machine learning in medical devices is intensifying. Yet most companies still apply failure mode and effects analysis (FMEA) methods designed for deterministic hardware failures.

Manufacturers have spent millions investing in safer equipment, smarter automation, and increasingly sophisticated operational technology.

We often think of AI as a technological revolution that will transform industries, disrupt jobs, and change the nature of competitive advantage.

Midtier life sciences companies are spending more than ever on quality and regulatory technology, yet many are paying enterprise prices for capability they never use.