GE Aerospace is moving AI from experimental to essential, reporting significant efficiency improvements and expanding its Indian workforce to drive innovation in engine monitoring and software development.
GE Aerospace is pushing artificial intelligence deeper into day-to-day operations, with the company saying it is now seeing clear business benefits rather than just experimental promise.
Dinakar Deshmukh, the firm’s executive director for data science and AI, said machine learning tools used to monitor engines have cut false positives by more than half and reduced lead times by over 60 per cent. He said the systems are able to identify unusual patterns that would be hard for people to spot, improving the way the company tracks commercial aircraft engines.
Generative AI is also moving into use, though Deshmukh said the technology remains a work in progress. Even so, he said some applications are already in production and are delivering measurable gains, including productivity improvements of 20 to 25 per cent in software development.
India is becoming increasingly central to that push. GE Aerospace has about 2,500 employees in India, and more than half of its AI team is based in Bengaluru. That reflects the company’s broader reliance on the country, where it has operated for more than four decades and runs major engineering and manufacturing capabilities, including its technology centre in Bengaluru and a facility in Pune that makes components for several engine platforms.
The company is also building out its supplier network in India and has separately expanded its Next Engineers programme in Bengaluru to help develop future talent. Deshmukh said the group is being selective about where it applies AI, focusing on high-value operational areas rather than spreading the technology too broadly. He also said the hardest task is taking a tool from prototype to full-scale deployment, and that GE’s investment in AI has risen by 2.5 to 3 times over the past two and a half years.
Source: Noah Wire Services
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Freshness check
Score:
7
Notes:
The article was published on April 9, 2025. Similar content has appeared in other reputable sources, such as Business Standard on April 9, 2025, and IBEF on April 11, 2025. ([business-standard.com](https://www.business-standard.com/technology/tech-news/india-team-vital-to-the-future-of-flight-with-ai-ge-aerospace-s-deshmukh-125040900882_1.html?utm_source=openai)) This suggests the narrative is not entirely original. Additionally, the article includes updated data but recycles older material, raising concerns about freshness. ([financialexpress.com](https://www.financialexpress.com/business/industry-weve-improved-detection-rates-by-45-says-dinakar-deshmukh-3966003/?utm_source=openai))
Quotes check
Score:
6
Notes:
The article includes direct quotes from Dinakar Deshmukh. However, these quotes also appear in other sources, such as Business Standard and IBEF. ([business-standard.com](https://www.business-standard.com/technology/tech-news/india-team-vital-to-the-future-of-flight-with-ai-ge-aerospace-s-deshmukh-125040900882_1.html?utm_source=openai)) This repetition suggests the quotes may have been reused, potentially affecting the originality of the content.
Source reliability
Score:
8
Notes:
The article originates from The Hindu BusinessLine, a reputable Indian business newspaper. However, the content has been republished across various platforms, including low-quality sites and clickbait networks, which raises concerns about the source's independence and potential dilution of credibility.
Plausibility check
Score:
7
Notes:
The claims about GE Aerospace's AI initiatives, including improvements in engine health monitoring and the development of AI Wingmate, are plausible and align with known industry trends. However, the lack of independent verification and the presence of similar reports elsewhere reduce the confidence in the uniqueness and accuracy of these claims.
Overall assessment
Verdict (FAIL, OPEN, PASS): FAIL
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
The article presents information on GE Aerospace's AI initiatives, including improvements in engine health monitoring and the development of AI Wingmate. However, similar content has appeared in other reputable sources, and the quotes from Dinakar Deshmukh are reused, raising concerns about the originality and freshness of the content. The reliance on potentially non-independent verification sources further diminishes the credibility of the article. Given these issues, the content does not meet the necessary standards for publication under our editorial indemnity.