18 May 2017
T-Systems
Europe/Zurich timezone
hpc-ch forum

Session

Keynote presentation

18 May 2017, 10:15
Room: New York (T-Systems)

Room: New York

T-Systems

T-Systems Kloten (Balsberg), Balz-Zimmermann-Strasse 7, CH-8302 Kloten

Conveners

Keynote presentation: Application of Machine Learning Approaches to Real-Time Prediction of Train Arrivals

  • Ingo Elsen (T-Systems Schweiz AG)

Description

The talk will present a solution that T-Systems has created for Deutsche Bahn to improve the passenger information by predicting the arrival of trains in real time based on the trains' current positions.

It will be shown, how "classical" statistical machine learning approaches can be combined with artificial neural networks to solve the problem. The solution is designed in a way that it can scale horizontally based on an Hadoop based HPC platform. 

Furtherly, an outlook on new datatypes and compute approaches in industrial HPC applications will be given.

Presentation materials

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