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AI in ATC Needs Centralized Data and SMC-Enabled Applications: Shaping a New ATSEP Profile

As air traffic control (ATC) systems evolve, the integration of artificial intelligence (AI) is becoming critical to improving efficiency, safety, and decision-making. However, for AI to work effectively in air traffic management (ATM), a centralized data infrastructure and Service Monitoring & Control (SMC)-enabled applications are necessary. These technologies are not just reshaping ATC systems, but they are also transforming the roles and responsibilities of Air Traffic Safety Electronics Personnel (ATSEP). This blog explores the foundational role of centralized data and service-based architectures, and how AI will shape the future of ATSEP in the context of AI-enhanced ATC systems.

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Building the Future of ATM: Cloud Architecture, Centralized Data, and Cybersecurity as the Foundation for AI Integration

As global air traffic continues to increase, the complexity of managing airspace grows more challenging. To address these complexities, Air Traffic Control (ATC) systems are turning to emerging technologies such as Artificial Intelligence (AI), cloud computing, and cybersecurity to maintain safety and efficiency. Integrating these technologies is not just an opportunity—it is a necessity. This article provides an introduction to how AI, supported by robust cloud architecture and underpinned by strong cybersecurity measures, can transform ATC into a more scalable and secure system while ensuring compliance with data privacy regulations.

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ATSEP, Hosting and Schrems II: Ensuring Data Protection in Remote Air Traffic Control and Virtualization

In the context of remote air traffic control operations and service virtualization, legal considerations regarding data sovereignty and data regionality come into play.

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