In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer makes sense. The solution could be predictive maintenance. This is an approach that uses sensors and software to analyze equipment performance in real time and predict when it might fail.
Machines whisper before they scream: We built an AI model that predicts expensive problems
