Overcoming Challenges in Applying AI/ML for Predictive Maintenance in Aviation MRO
The aviation Maintenance, Repair, and Overhaul (MRO) industry is on the brink of a technological revolution, driven by advancements in artificial intelligence (AI) and machine learning (ML) in MRO software. The global AI in aviation market is projected to exceed $9 billion by 2030 from $653.74 million in 2021, with a CAGR of 35.38% from 2022 to 2030.

Power of AI in MRO
Some examples of the use of AI in MRO are as follows:

Predictive Maintenance: AI in MRO aviation software analyzes vast amounts of data from aircraft sensors to predict potential failures before they occur, preventing unplanned downtime and enhancing safety. According to industry experts, predictive maintenance can reduce unplanned maintenance by up to 30% and increase aircraft availability by 20%​.
Source: https://www.ramco.com/blog/avi....ation/challenges-in-

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AI is revolutionizing MRO aviation software with predictive maintenance, optimized scheduling & more. Learn how to overcome challenges and unlock its potential for cost savings, safety & efficiency.
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