Agenda

Time Slot Day 1 October 21st Day 2 October 22nd
08:00-08:45 (CEST)
17:00-17:45 (AEDT)
Industrial Data Science: From Data Acquisition to Business Value
Prof. Dr. Jochen Deuse, TU Dortmund University and University of Technology Sydney & Ralf Klinkenberg, RapidMiner
Data Science: A Personal History
Prof. Dr. Claus Weihs, TU Dortmund University
08:45-09:30 (CEST)
17:45-18:30 (AEDT)
Production Data in Semiconductor Industries — Gold of the Digital Age
Sebastian Arens, Infineon AG
Setting up an IoT architecture for reducing downtime in beer bottling
Dominik Essig, Augustiner-Bräu Wagner KG & Philipp Schlunder, RapidMiner
09:30-10:00 (CEST)
18:30-19:00 (AEDT)
Break Break
10:00-10:45 (CEST)
19:00-19:45 (AEDT)
The Next Step after Predictive — "Prescriptive Maintenance"
Michael Wocker, BMW AG & Dr. Julian Schallow, ipsoFacto
The Data-Driven Improvement Organization in the Factory of the Future
Andreas Müller, Robert Bosch GmbH
10:45-11:30 (CEST)
19:45-20:30 (AEDT)
A Big Data and Advanced Analytics Strategy for the Steel Industry
Dr. Gabriel Fricout, Arcelor Mittal
A Manifesto for Better Data Science
Dr. Ingo Mierswa, RapidMiner
11:30-12:00 (CEST)
20:30-21:00 (AEDT)
Break Break
12:00-12:30 (CEST)
21:00-21:30 (AEDT)
Challenges & Best Practices in IDS
Podium Discussion, moderated by Prof. Peter Willats
Challenges & Best Practices in IDS
Podium Discussion, moderated by Prof. Peter Willats
12:30-14:00 (CEST)
21:30-23:00 (AEDT)
Virtual Exhibition Room with System Demos, Posters, Presentations, Discussion and Networking options
Virtual Exhibition Room with System Demos, Posters, Presentations, Discussion and Networking options

About us

RapidMiner and the IPS are persuing Data Science use-cases in an industrial environment.

Contact

RapidMiner GmbH
Westfalendamm 87
44141 Dortmund
Germany

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