AI-driven predictive maintenance is revolutionizing aircraft upkeep by using advanced algorithms to analyze data from sensors and predict when parts might fail before any visible issues arise. This proactive approach has the potential to significantly reduce downtime, lower maintenance costs, and increase safety. However, questions remain about the reliability of current AI models. Are they consistently accurate in predicting problems, or do we still need manual inspections as a backup? As AI in aviation continues to advance, it’s exciting to think about the improvements we could see in the coming years. What do you think—can AI fully replace traditional maintenance methods, or is a hybrid approach the future?
