What to expect
Machine learning and generative AI are entering aviation performance and flow management. This session examines the current state of these technologies and their operational implications:
- Generative AI applications in ATM — how large language models and generative approaches are being applied beyond conventional prediction tasks
- Advanced ML frameworks for traffic flow management — the architecture and capabilities of next-generation flow management tools
- Aviation performance enhancement — how AI-driven analysis is improving operational efficiency across network, airport, and sector levels
- From research to operations — the transition pathway from experimental ML frameworks to certified, operationally deployed tools
- Human-AI collaboration in flow management — how controllers and planners work with AI-generated recommendations
Why it matters
The application of generative AI and sophisticated ML frameworks to ATM represents a significant step beyond the rule-based and statistical tools that have historically supported flow management. This session examines what these technologies can realistically deliver and what their operational integration requires.