The easiest AI costs to count could become the least important part of the story.

At a typical manufacturer, the cost of poor quality runs to 15–20% of sales.

The ongoing AI boom seems to permeate, and sometimes call into doubt, every aspect of almost everybody’s profession.

A CEO doesn’t need to read every AI law to understand why regulation matters. It shows up in subtler ways: a sales team using a chatbot with client data, a hiring manager testing an AI screening tool, a board member asking whether the company has an AI policy.

In the electrotechnology sector, we know one thing for certain: Trust can’t be imposed; it must be built. Standardization enables us to build it every day.

The recent multistate outbreak of cyclosporiasis is a powerful reminder that food quality involves more than appearance, consistency, and shelf life.

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.

The deployment of automated software systems called AI agents has recently exploded.

The next advantage in business will come from leaders who can manage machine labor as deliberately as they manage people. Professor Ethan Mollick at Wharton fram