Machine learning not only plays a major role in the IT environment - it is also already a hotly debated topic in vehicle development. As autonomous driving is on the rise, machine learning becomes indispensable for the automotive industry.

Our question is: How does this impact the process landscapes of carmakers and suppliers? And even more important – how can machine learning be integrated effectively?

Although experts are already addressing the issue and working on various approaches, there is still room for improvement. This can only be achieved through multidisciplinary cooperation. 

Are you experienced in Machine Learning, Data Science, or Artificial Intelligence? In our free workshop “Machine Learning in Automotive“ we not only want to provide an open space for discussions between machine learning experts but also want to bring in our process improvement expertise.

Typical quality issues within Machine Learning development will be presented and discussed. The goal is to assess existing approaches and find possible solutions via group elaboration. Finally, all approaches will be discussed in the plenum.


-  You will have the opportunity to exchange ideas with other Machine Learning experts.

-  Typical quality issues in Machine Learning development are presented.

-  The goal is to evaluate existing approaches in small groups and find possible solutions through joint development.

-  The developed approaches will then be presented and discussed in the plenary session.

-  You will be supervised by our experts and benefit from their knowledge in the area of process improvement (Automotive SPICE®).


10:00 - 10:30          Welcoming and Introduction

10:30 - 10:45          Motivation of the workshop

10:45 - 11:05          Group Discussion I - Common issues in Machine Learning

                                              Development and Data Management

11:05 - 11:15          Coffee Break

11:15 - 12:00          Presentation of the first group discussion results

12:00 - 13:00          Lunch & Networking

13:00 - 14:00          SPICE for Machine Learning

14:00 - 14:45          Group Discussion II - Shape the future standard

14:45 - 15:15          Presentation of the second group discussion results

15:15 - 15:30          Wrap-up

15:30 - 16:00          Open Questions (Optional)