<span class="overline">Book Preview</span><br><em>The Psychology of AI Adoption at Work</em>
The ongoing AI boom seems to permeate, and sometimes call into doubt, every aspect of almost everybody’s profession.
The ongoing AI boom seems to permeate, and sometimes call into doubt, every aspect of almost everybody’s profession.
Ask a leadership team how many hours went into last quarter’s operating review. Then ask how many of those hours went into a problem the team had already solved once before. Watch how the room reacts to the second question.
“Just when I thought I was out, they pull me back in.”
—Michael Corleone, The Godfather: Part III
The recent multistate outbreak of cyclosporiasis is a powerful reminder that food quality involves more than appearance, consistency, and shelf life.
In industrial manufacturing, quality failures carry consequences far beyond the factory floor. A single defect can trigger warranty claims, production downtime for customers, costly recalls, and long-term damage to brand reputation.
Most manufacturing engineers have experienced some version of the same problem: A production process successfully completes validation. The production part approval process (PPAP) is approved.
Imagine running a race where every second counts and your competition is constantly breathing down your neck. That’s the magic (or madness) of cycle time.
Operations leaders usually have more maintenance data than they can use.
Ask anyone who’s bought a handheld 3D scanner with optical tracking system in the last few years about what sold them, and you’ll hear about speed. More points per second. Larger scanning areas. Faster data capture.
The healthcare technology management (HTM) industry is facing a looming labor shortage and must attract enough skilled professionals to meet future demand.
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