Abstract
This paper demonstrates how AVIATAR prediction successfully improves operational stability.It will explain a specific use case example, presented with customers to complete the holistic view on big data models and predictive recommendations through the eyes of an airline. A deep dive int he ATAchapter36 (EBASS-suite) will illustrate how Lufthansa Technik’s predictive maintenance knowledge achieves numerous cost savings and provides increased operational stability.
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