MARCH 2025AEROSPACEDEFENSEREVIEW.COM19CXO InsightsARTIFICIAL INTELLIGENCE AI IN AEROSPACEBy Ron Brown, Avionics Engineering Manager, Kalitta AirRon Brown is the Avionics Engineering Manager at Kalitta Air, with over 15 years of experience in avionics and aircraft systems. He has held this role since May 2018, where he oversees avionics engineering operations, quality assurance and systems integration for Kalitta's fleet. Previously, he worked as an Avionics Systems Engineer at GE Aviation, specializing in quality assurance and technical writing, and has also served in engineering roles at Team SAI and Canard Aerospace. Through this article, Brown highlights that AI is becoming increasingly prevalent in the aerospace industry, specifically in areas like big data analysis and network security.Artificial intelligence (AI) in aerospace--is it here? Well, the answer is yes. AI is here and it is here to stay. So, how do we as an industry deal with the use of artificial intelligence, more commonly known as AI, in the aerospace sector? There are a couple of things to consider when discussing AI. With no specific regulatory requirements covering or capturing AI-specific development in aviation, there are basic framework road maps that define the use. However, there are many standards that outline system requirements and development capturing these ideas and thoughts. Some systems currently use AI for analysis of big data, such as network security and aircraft health monitoring. So, let's discuss analytics of big data. Current aerospace systems produce large quantities of data for analysis, which cannot be completed in a timely manner by human intervention. With the use of a qualified AI tool, the analysis can be greatly reduced from a month or more for a single data set to mere hours. So, there are tools utilizing
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