This podcast from Aviation Maintenance magazine explores predictive engine maintenance (PEM), a data-driven approach to aircraft engine maintenance. The podcast discusses how PEM uses engine sensor data, digital monitoring tools, and AI-powered analysis to predict maintenance issues before they occur. It features interviews with representatives from three companies – AFI KLM E&M, MTU Maintenance, and QOCO Systems – each offering a different perspective on the PEM market. The podcast highlights the potential of PEM to improve aircraft availability, reduce maintenance costs, and increase safety, while also discussing the current trends and challenges in the field.