11:45-12:10: Harnessing GenAI for Software-Defined Vehicles: Transforming Products and Processes
Sascha Sambale (Bosch Digital)

Generative AI (GenAI) is revolutionizing the automotive industry, offering transformative opportunities for both Product AI and Process AI within Software-Defined Vehicles (SDVs). Product AI applications leverage GenAI to enhance automated driving systems, improve safety-critical functions, and create advanced in-vehicle experiences. On the Process AI side, GenAI is streamlining SDV development, managing complex regulations, optimizing test management, and enabling continuous homologation.

This presentation explores the path to adopting GenAI within organizations, focusing on internal challenges and opportunities. Key topics include overcoming technical hurdles in training and deploying models, addressing legal and ethical concerns, and ensuring data privacy and security. The discussion also covers practical strategies for embedding GenAI into organizational workflows while maintaining compliance with industry standards and global regulations.

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12:10-12:35: Unlock Value with Gen AI: Test Development Assistant in the Software Defined Vehicle
Andreas Geiss (Aleph Alpha)

Over 40% of tasks from knowledge workers such as software developers or development engineers in automotive are repetitive. We identify these tasks and build a solution that can reduce the overall test development time by over 30%. On top, the solution provides a higher overall quality and ensures, that all requirements are thoroughly implemented and tested.
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12:35-13:00: Towards an End-to-end AI Experience: Combining Embedded, Edge and Cloud AI within the Software-Defined Vehicle
Marco Wagner (Hochschule Heilbronn)

In recent years, Artificial Intelligence has already proved to provide massive benefits in the automotive domain. Pilot use cases such as driver assistance or data-based services have already made it to our roads to the benefit of both the automotive OEMs and their customers.
At the same time, the E/E architecture of modern vehicles changes dramatically on the pathway towards a true Software-Defined Vehicle. This fact opens up new opportunities to leverage AI not only in the cloud or central computers but also in smaller control units deeper integrated into the vehicle‘s mechatronics. In this talk, hybrid approaches will be discussed that may help to shape future automotive AI systems along the continuum of device, edge and cloud computing.

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