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SUMMARY:#Hack4BestCX: Predictive Maintenance with Machine Learning
DTSTART;TZID=Europe/Berlin:20240301T093000
DTEND;TZID=Europe/Berlin:20240301T200000
DTSTAMP:20260920T190042Z
UID:d9bea3dbafe04532aa5e8436d6b7c9b0@www.uni-bonn.de
CREATED:20240119T072204Z
DESCRIPTION:How can you and ML help to further enhance prediction models a
 t Telekom? \nDeutsche Telekom\, the Transfer Center enaCom at the Universi
 ty of Bonn and the Lamarr Institute for Machine Learning and Artificial In
 telligence are looking for innovative and unconventional solutions to this
  question at the #Hack4BestCX hackathon to improve Customer Experience (CX
 ). Thanks to predictive maintenance\, we can easily check the status of di
 verse net components and detect disruptions at an early stage. At #Hack4Be
 stCX your team will work on a specific challenge within one day being supp
 orted by Deutsche Telekom data scientists and based on Telekom's operating
 - and performance data. The aim is to develop prediction models which reco
 gnize failures or deviations in the net performance as precisely as possib
 le. The winners will receive vouchers worth up to 250 EUR and all particip
 ants will receive exclusive goodies!
LAST-MODIFIED:20250919T101832Z
URL:https://www.uni-bonn.de/en/research-and-teaching/transfer/transfer-cen
 ter-enacom/events/archive-2024/hack4bestcx-predictive-maintenance-with-mac
 hine-learning
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