31. January 2024

Machine learning hackathon together with Telekom and LAMARR Institute Machine learning hackathon together with Telekom and LAMARR Institute

Corporate cooperation and transfer at the University of Bonn

The University of Bonn is organizing a hackathon for students and young scientists together with Deutsche Telekom. The aim is for participants to use machine learning to help improve Deutsche Telekom's forecasting models. Together with the university's Transfer Center enaCom and the LAMARR Institute for Machine Learning and Artificial Intelligence, which the University of Bonn runs jointly with TU Dortmund University and others, the company is looking for innovative and unconventional solutions to improve the customer experience (CX) of Deutsche Telekom customers at #Hack4BestCX on March 1, 2024.

#Hack4BestCX: Predictive Maintenance with Machine Learning
#Hack4BestCX: Predictive Maintenance with Machine Learning © Adobe Firefly
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The organization of such a joint event offers a good start for cooperation between university and business. The collaboration with Deutsche Telekom's Customer Experience & Data team is a good example of this, with an interesting specialist area of a DAX company.

The aim of the hackathon is not to develop a finished product, but to generate an idea or a concept. "Hackathons are a great format for working creatively in small interdisciplinary teams in a short space of time on questions and challenges from practice and on useful solutions on site. We want to create opportunities for students and young scientists to be directly involved in the development of innovations," says Sandra Speer, Head of the Transfer Center enaCom. Every year, the Transfer Center enaCom organizes a series of hackathons on a wide range of specialist topics and issues and with various partners, such as the recent Cybersecurity Hackathon and the Sustainability Hackathon.

At #Hack4BestCX, students and researchers supported by data scientists from Deutsche Telekom work on a specific challenge in a team within one day based on operating and performance data. The aim is to develop prediction models that can detect errors and deviations in network performance as accurately as possible. Deutsche Telekom can use predictive maintenance models to check the status of the various network components and detect faults at an early stage. To do this, many sensors within the network infrastructure generate huge amounts of data. By using artificial intelligence, for example, a certain threshold value is set at which the system sounds an alarm. The company can then react quickly to the problems and intervene via remote maintenance or on site.

Fresh ideas and networking

"We are of course always on the lookout for fresh ideas and new methods for the further development of our (error) prediction models and therefore find it exciting to see how the excellently trained students and young scientists from Bonn deal with our real-life questions and data. Not least in order to constantly improve the customer experience for our customers," says Benno Willoweit, Chapter Lead Data Scientists in the Customer Experience & Data department at Deutsche Telekom. "As a large company, it is also interesting for us to network personally with young data scientists and computer scientists at an event like this."

enaCom Innovation Scout Dr. Daniela Treutlein also highlights this opportunity for students to take a look behind the scenes at companies from the region such as Deutsche Telekom as an example of successful transfer. "At the same time, team-building in an inspiring external environment is perhaps also the beginning of working on further questions with the Telekom Data Scientists or creating ideas for your own start-up with your team mates - in which case we are of course on hand as a point of contact."

The #Hack4BestCX will take place on March 01, 2024, 9 a.m. - 9 p.m., in Bonn at the Telekom Campus. Master's students and young scientists from the fields of machine learning or modeling are invited. The best teams will receive vouchers worth up to 250 euros and there will be selected goodies for all participants. To secure your place as a participant in our hackathon, register on the website as soon as possible. The registration deadline is 25.02.

www.uni-bonn.de/de/hack4bestcx

Dr. Daniela Treutlein
treutlein@verwaltung.uni-bonn.de
 +49 228 73-6503

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