How might we change car development with big data technologies?

Digital systems control large parts of life today. Computers serve as workstations, multimedia systems for entertainment, and smartphones as a multifunctional tool. But none of this would be possible without large amounts of data. Complex IT solutions are needed to process this data. They are also increasingly important for the automotive industry. Work steps can be simplified and precisely controlled. But there are many more possibilities in technology that nobody can think of today. The aim of this workshop was to better grasp this complex topic.

The workshop was divided into three groups: economic, technological, and social. What was astonishing was that in all groups an understanding of the importance of Big Data was quickly felt. The participants had an exciting discussion about the technology and the possibilities. However, much more time would be needed for concrete results. Potential fields of application could nevertheless be outlined.

Sebastian Horn

M.Sc. Computer Science During his studies of Computer Science, Sebastian focused on the relationship between IT and automotive systems. He is enthusiastic about the capabilities of modern data technologies applied to vehicle development. He joined Audi in 2018 enabling engineers to answer Big Data questions using tailored cloud-based solutions. 

Reinhard Hatko

Diploma Computer Science Since 2014, Reinhard has supported engineers in solving their problems using measurement data. In 2018, he joined Audi developing software for Big Data-based analysis of automotive data. Prior, he studied Computer Science at the University of Wuerzburg and did research in the area of knowledge-based systems.

Hendrik Vogel

Ph.D. in Theoretical Physics After several years of studying at the Max Planck Institute for Physics and Stanford University on the impact of Dark Matter on our Universe, Hendrik became fascinated by the rapid development of autonomous driving in Silicon Valley. Hendrik joined Audi in 2018 and is now developing cloud-based solutions for the big data challenges of the future.