GE Aerospace is moving artificial intelligence from pilot projects to core operations, delivering measurable gains in efficiency and productivity, said Dinakar Deshmukh, Executive Director, Data Science and AI at the company.
The firm has reduced false positives by over 50 per cent and improved lead time by more than 60 per cent using machine learning-led engine monitoring systems.
“These algorithms pick up anomalies that would be very difficult for a human to detect. The impact is very direct and significant in how we monitor our commercial engines,” Deshmukh said.
Generative AI, while still at an early stage, is beginning to show tangible results. “We are still learning when it comes to generative AI, we haven’t fully conquered it yet,” he noted, adding that “we already have generative AI applications in production driving real business outcomes.” The company is seeing 20–25 per cent productivity gains in areas such as software development.
GE Aerospace, which has a global workforce of about 57,000 employees, is increasingly anchoring its AI efforts in India. Over 50 per cent of its AI team is based in Bengaluru, out of a total India headcount of around 2,500 employees.
Deshmukh emphasised that the company is selective in deploying AI. “We don’t try to apply AI everywhere, we focus on operations that are critical to business performance,” he said. “We identify complex areas where efficiency gains are possible and target those with AI.”
The company has stepped up investments in the space, increasing AI spending by 2.5 to 3 times over the last two-and-a-half years. A key challenge, however, remains execution at scale. “Scaling from proof of concept to production is the hardest part, and that’s where we focus,” he said, adding that GE combines lean operating principles with AI to ensure solutions scale effectively.
“Our approach is to let the problem define the model, not the other way around,” he added.
Published on April 12, 2026
