📕 subnode [[@KGBicheno/maintenance done 90 per cent faster]]
in 📚 node [[maintenance-done-90-per-cent-faster]]
📓
garden/KGBicheno/Artificial Intelligence/Watson AI Overview/Module 1 - How Watson AI works/Maintenance done 90 per cent faster.md by @KGBicheno
Maintenance done 90 per cent faster
Go to [[Watson AI is changing how business is done]] or [[Ideas for Newsrooms (LIST)]].
Also see the [[Master of Philosophy - Main Page]]
Korean Air
Industry: Aviation
Years of maintenance records had become impenetrable in their size and density, meaning technicians were always relearning what had already been learned.
Watson Explorer to the rescue again.
200,000 cases were addressed 90% faster, 2000 employees were able to act faster.
25 million customers kept happier.
Technology to the rescue in a huge way from a direction that wouldn't have been obvious before.
How Korean Air worked with Watson
- Watson ingested a variety of structured and unstructured data related to maintenance for the hundreds of planes in Korean Air’s fleet.
- Maintenance defect issues are reported by flight or cabin crews to ground operations.
- Maintenance employees access data from look-a-like cases against technical guidelines.
- Watson assists to decide probable cause and recommends solutions so that they can be quickly addressed by technicians.
📖 stoas
- public document at doc.anagora.org/maintenance-done-90-per-cent-faster
- video call at meet.jit.si/maintenance-done-90-per-cent-faster