Leveraging Aviation Data and AI for Maintenance Insights
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How can we collect data from mobile phones inside the cabin of an airplane? How can we use them to gain insights about the health of the airplane?
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Leveraging Aviation Data and AI for Maintenance Insights
- 1. relationalAI Leveraging the tightly connected aviation ecosystem for AI based maintenance Nikolaos Vasiloglou 1
- 2. Thinking outside of the Box Ridiculous Productive 2
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- 5. But this is not fake 5
- 6. We don’t believe an airline should be a software company….. ▪ Is Nvidia a software company? ▪ Is Intel a software company? ▪ Is Pfizer a software company? ▪ Is Uber a software company? ▪ Is Airbnb a software company? ▪ Is Netflix a software company? ▪ Is JP Morgan a software company? 6
- 7. Why can Uber sell food and Delta can’t sell parcel delivery services? ▪ Why does Amazon have its own delivery service? ▪ Why American doesn’t have a retail service? 7
- 8. It is deeper all the sciences become digital 8
- 9. Why aren’t OEMs or Airlines a software company yet? ▪ Airplanes are not a commodity product!! ▪ There is still a lot of complexity ▪ Technical ▪ Regulatory ▪ But they will become commodity soon…. ▪ So get ready, start by leveraging data! 9
- 10. First things first, who owns the data? 10
- 11. Data battles existed before aviation 11
- 12. How was it sorted out? ▪ Competition. Data auctions ▪ Exchange platforms ▪ What pushed companies to coopetition? ▪ Bypassing and breaking monopolies ▪ Using proxies and noisy data that broke exclusivities ▪ Google Map -> Street View ▪ Traffic cameras -> Waze ▪ Credit card transactions -> Cell Phone location data ▪ Hospital data -> Google search frequency for Flu 12
- 13. Accurate or Noisy data? ▪ Unfortunately accurate data are expensive ▪ But noisy data can be cheap Big Noisy data = Accurate data ? 13
- 14. Big Noisy data = Useful data Let’s get this party started! 14
- 15. What can the airlines collect? 15
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- 17. What can you learn from people’s smartphones ▪ Every person is a sensor ▪ Camera ▪ Accelerometer ▪ Microphone ▪ Wifi signal strength ▪ GPS 17
- 18. Signals + AI ▪ Bumps, sudden movements of the aircraft ▪ Vibrations ▪ Weight and height of the passengers ▪ Level of discomfort ▪ Temperature 18
- 19. How heavy is your airplane? 19
- 20. What is the basic principle? ▪ Given some training data you can discover how ▪ certain events correlate with smartphone sensors ▪ You don’t need to always understand the underlying physical mechanism ▪ For example movement of people in a room changes with respect to temperature. ▪ You can build your own thermometer from the accelerometer data and location data!! ▪ You can also use crowdsourcing to extract any information 20
- 21. Could this have been avoided? 21
- 22. Getting your flight data Read your instruments Record obstacles as you take off 22
- 23. Order it now online 23
- 25. Google knows if you have a hard landing! 25
- 26. Run your models on iphones 26
- 27. The aircraft manufacturers can steal data from the engine manufacturers 27
- 28. Airports can steal data too 28
- 29. Are your engineers smarter than a farmer? www.mltrain.cc Come find me and I will teach your engineers how to do it 29
- 30. Change the Culture. Educate yourself and your Executives 30