We've improved detection rates by 45%

GE Aerospace has started to deploy a new, AI-enabled blade inspection tool to improve accuracy and consistency for key components of narrow-body aircraft engines, helping return engines to be serviced faster.

- Dinakar Deshmukh, VP - Data Science & Analytics, GE Aerospace

Over the past decade, the Cincinnati, Ohio-based group has established one of the largest portfolios of AI-related patents in the aviation industry. It employs more than 100 specialists focused on AI and data science.

In this interview, Dinakar Deshmukh, vice-president, Data Science & Analytics, GE Aerospace, speaks to Sudhir Chowdhary on how the company is integrating AI across its operations. Excerpts:

How is GE Aerospace using AI in engine health management?

We've been deploying cutting-edge technologies to monitor every flying commercial engine 24/7. We use machine learning (ML) models to build what we call digital twins—virtual models that simulate each flight. Our strategy combines deep domain expertise in jet engine design and physics with modern technologies like ML and AI.