A manufacturing enterprise used AI-as-a-Service to build a predictive maintenance model using sensor data, maintenance logs and failure history. The model predicted equipment failures 72 hours in advance with 85% accuracy, reducing unplanned downtime by 40% and maintenance costs by 25%.