The integration of Artificial Intelligence (AI) in Air Traffic Management (ATM) is rapidly transforming the way airspace is monitored, optimized, and secured. However, for AI to be effectively implemented in ATC (Air Traffic Control) and ATSEP (Air Traffic Safety Electronics Personnel) operations, a centralized data and cloud architecture is essential. Without a scalable infrastructure, AI-driven solutions such as real-time traffic prediction, automated conflict resolution, and advanced system monitoring cannot operate with the required speed, reliability, and interoperability.
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