Managing flight delays is notoriously complex, so color me skeptical about how well an algorithm can handle the unpredictability of weather or ground crews. AI is great at pattern…
Managing flight delays is notoriously complex, so color me skeptical about how well an algorithm can handle the unpredictability of weather or ground crews. AI is great at pattern recognition, but air traffic control requires split-second human judgment when things go sideways. Are they just automating existing inefficiencies, or is there actual data showing this leads to fewer delays?
I’d like to see how it handles a real-world mess, not just a controlled test environment. Seems like a lot of hype until we see some concrete numbers on reduced wait times.