Reclaiming Quality in the Age of AI, Drift, and Customer Distrust
Complacency won’t show up on a control chart. But its damage is real. Can AI and systems thinking help us detect it and respond before trust is lost?
Complacency won’t show up on a control chart. But its damage is real. Can AI and systems thinking help us detect it and respond before trust is lost?
I’m further exploring the notion of models and mental models. We often speak of mental models as though they’re neat packages of knowledge stored somewhere in the mind.
Why do customers patronize one company over another? Many of you might say that the quality and price of the products or services are key factors. But while those things might play into a purchasing decision, they aren’t the most important consideration.
Did you know that shutdowns, turnarounds, and outages (STOs) can consume up to 50% of a plant’s annual maintenance budget?
Facility teams are constantly balancing urgent repairs, preventive tasks, asset tracking, and compliance, all while ensuring smooth day-to-day operations.
Readers of my blog might be aware that I appreciate the nuances of cybernetic constructivism. Cybernetic constructivism rejects the idea that we have access to an objective reality. It doesn’t deny that there’s an external reality independent of an observer.
When artificial intelligence burst into mainstream business consciousness, the narrative was compelling: Intelligent machines would handle routine tasks, freeing humans for higher-level creative and strategic work.
The corrective and preventive action (CAPA) process is one of the most important elements within a medtech company’s quality management system (QMS).
Many companies are still clinging to paper-based and unconnected electronic processes, despite the clear disadvantages.
For quality heads, compliance officers, auditors, and engineering leaders, audits have been a time-consuming, resource-intensive process, yet necessary to build resilient operations, prevent costly failures, and maintain competitive advantage.
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