This discussion focuses on application of AI and machine learning technologies in health monitoring of jet engines and aircraft components. Specifically, how AI technologies are pushing the envelope and changing the way we traditionally thought about engine monitoring and fleet management. This talk will highlight how Physics-based/business understanding and AI driven techniques must come together to drive differentiated outcomes for airline customers. The talk will also present examples on how to combine both structured and unstructured data for predictive maintenance using AI technologies. The presentation will conclude with a section on GE aviation’s lessons learned in the area for the past 10 years.