A new study from Ramp and Revelio Labs offers valuable evidence about how companies behave after investing heavily in artificial intelligence.

Flu season arrives every year, but its effect is never entirely predictable. Patient volumes can rise quickly, respiratory cases can require specialized equipment, and hospital teams already stretched thin must respond without compromising care.

For improvement work to be successful, an organization needs a clear structure with defined roles and responsibilities. If it invests in an improvement organization for the long term, it can ensure lasting results.

(TRIGO: Nanterre, France) -- TRIGO is deploying practical AI solutions to help manufacturers and transportation OEMs anticipate supplier risks, accelerate continuous improvement, and strengthen supply base quality.

John owned a distribution company, and he was the entire sales department. Every major deal ran through him. Every key relationship lived in his phone. He was missing his daughter’s dance recitals. His wife said he was never home.

According to Shigeo Shingo, a subtle but important distinction exists between problem-solving and continuous improvement.

Metrology, the scientific study of measurement, has never been faster or more precise. Yet many quality problems that land on a CMM table were decided weeks earlier, when someone measured against a drawing that was no longer the approved one.

Who makes the better call: a manager with a wide-ranging career or a narrow one; a doctor who trusts their instincts, or one who sticks to clinical guidelines; a human recruiter, or an algorithm that assesses job candidates?

When hospitals treat device downtime as isolated, one-off incidents, they miss a critical opportunity to improve system reliability, manage long-term costs, and safeguard patient care.

A longtime raw-material supplier exits the market, and a manufacturer needs a replacement quickly. The new supplier completes a questionnaire, receives approval, and begins shipping. Months later, delivery slips and defects increase.