AI in the Automotive Industry: AI-Boosted Testing and Validation

The Volkswagen Group faces a continuous balancing act between brand diversity and operational efficiency. Artificial Intelligence (AI) plays a pivotal role in advancing highly networked and efficient vehicle development within this complex, multi-brand environment.

This talk provides insights into how Volkswagen is navigating this complexity while building scalable, data-driven AI solutions to shape the future of automotive development. It begins by exploring how AI is being embedded across the vehicle development process—starting with isolated use cases and evolving toward integrated, end-to-end AI applications. We’ll take a closer look at the R&D domain, highlighting concrete projects from cross-functional systems engineering teams.

In the next step, we focus on strategic workflow planning in the context of Testing and Validation. An example is given illustrating how AI can streamline validation processes and improve quality.

Yet, no AI initiative can succeed without high-quality, accessible data. One of the most pressing challenges in a multi-brand organization like Volkswagen is data governance. Ensuring seamless access to and integration of data—especially from external vendor systems—is essential. This session will also address how Volkswagen is tackling this challenge and why collaboration with partners is key to unlocking the full potential of AI.