CO-LOCATED EVENTS

Speaker

Johann Prenninger

Head of Analytics & Machine Learning / AI Connected Car, BMW

Johann Prenninger has been leading the introduction of analytics and AI/ML at BMW AG in recent years. Since 2004, he has been responsible for the establishment of those technologies in production, development and aftersales at BMW in Munich.
Since 2019 he works in BMW’s Connected Company focusing on all aspects of smart natural language user interaction.
In his spare time, he is a lecturer at the Hagenberg University of Applied Sciences in Austria on the subjects of autonomous driving and automotive software engineering.
Johann Prenninger studied electrical engineering and received his doctorate with a focus on automation technology and robotics at the Vienna University of Technology.

Sessions

Keynote

Monday, September 29

08:45 am - 09:15 am

Live in Berlin

Less Details

As the automotive industry accelerates towards autonomous, connected, electrified and shared mobility, the integration of AI and ML technologies is essential for achieving added value for virtually all customer facing products and services.

At BMW, we are at the forefront of this innovation, but the journey is fraught with complex challenges that must be overcome. This presentation will explore the critical hurdles in finding, inventing and deploying AI and ML end-to-end applications within the entire BMW’s vehicle program.

We will briefly delve into the intricacies of big-data processing, model accuracy, and real-world testing, offering insights into how BMW is addressing these challenges to pave the way for the future of mobility.

In this session, you will learn more about:

  • Ensuring innovative AI and ML solutions with adequate model performance and safety across all relevant domains
  • Organizing and managing complex, large-scale data for AI/ML applications
  • Addressing innovative real-world deployment challenges and continuous model adaptation
PE
Presentation

2 | Challenge Your Peers

Monday, September 29

04:30 pm - 05:30 pm

Live in Berlin

Less Details

  • What are the key benefits and limitations of using digital twins in the testing and validation of ADAS?
  • How do digital twins enhance the accuracy and efficiency of simulations for real-world driving scenarios, and what challenges remain in replicating complex environments?
  • In what ways can digital twins contribute to the continuous learning and adaptation of AI models in AVs?
  • What role do digital twins play in optimizing vehicle design and performance before physical prototypes are built?
  • How can the automotive industry ensure the security and integrity of data within digital twin environments, especially when dealing with sensitive or proprietary information?
PE
Workshop

Company

BMW

With its four brands BMW, MINI, Rolls-Royce and BMW Motorrad, the BMW Group is the world’s leading premium manufacturer of automobiles and motorcycles and also provides premium financial and mobility services. The BMW Group production network comprises over 30 production sites worldwide; the company has a global sales network in more than 140 countries. In 2023, the BMW Group sold over 2.55 million passenger vehicles and more than 209,000 motorcycles worldwide. The profit before tax in the financial year 2023 was € 17.1 billion on revenues amounting to € 155.5 billion. As of 31 December 2023, the BMW Group had a workforce of 154,950 employees. The success of the BMW Group has always been based on long-term thinking and responsible action. The company set the course for the future at an early stage and consistently makes sustainability and efficient resource management central to its strategic direction, from the supply chain through production to the end of the use phase of all products.