As the automotive industry accelerates toward higher levels of autonomy, the convergence of AI, increasing software complexity, and evolving vehicle architectures is fundamentally reshaping how these systems are designed, deployed, and scaled.

In this webinar, industry leaders will explore how in-vehicle AI is advancing beyond assistive functions toward more adaptive, decision-capable systems, while new architectural approaches – such as centralized and zonal designs – are enabling the compute, data flow, and flexibility required for next-generation platforms.

The discussion will also address the practical challenges of translating these innovations into real-world deployments, including system integration, scalability, safety assurance, and lifecycle management in increasingly software-defined vehicles.

Attendees will gain insight into how leading organizations are navigating these shifts to build more capable, resilient, and scalable autonomous systems.

What you’ll learn:

• How AI is transforming in-vehicle decision-making and autonomy
• Strategies for managing growing software complexity across system design and risk
• Why the industry is shifting to centralized and zonal architectures
• Key challenges in scaling, integrating, and assuring safety in autonomous systems
• Strategies for managing integration, compliance, and lifecycle complexity