This podcast from Aviation Maintenance Magazine focuses on the revolutionary concept of predictive engine maintenance, which moves beyond traditional preventative models by using real-time data, machine learning, and advanced analytics to forecast component failures. Industry experts from Pratt & Whitney, MTU Maintenance, and AERO CARE discuss how this strategy improves safety, reduces downtime, and lowers costs by allowing for “just in time” maintenance. A significant portion of the podcast addresses the integral role of Artificial Intelligence (AI) in enhancing these capabilities, citing specific tools like digital twins and AI-enabled inspection systems developed by major companies. It also examines various predictive maintenance solutions offered by these firms and speculates on the future evolution of the technology, including the shift toward prescriptive and autonomous maintenance.