AI and software-defined architectures are redefining what’s possible in autonomous mobility. This session explores the key technological shifts enabling safer, smarter, and more scalable autonomous systems.
Topics include:
For the successful adoption of robotaxis, public trust and acceptance are essential. Trust is earned through transparent communication, clear demonstrations of vehicle capabilities, and a strong, consistent safety record. Join this session to discover how to build and maintain consumer confidence while addressing common misconceptions.
This panel will cover:
The automotive industry is experiencing a clear split in development velocity. While leading Chinese OEMs operate with cloud-native, software-defined architectures and deliver new vehicles in roughly half the traditional cycle time, many incumbent manufacturers are transitioning, balancing software-defined ambitions with established hardware-led processes. This results in a widening efficiency and capability gap that directly impacts cost, innovation speed, and global competitiveness.
This talk examines the consequences of maintaining current development models. In a software-defined vehicle ecosystem, given the pace of innovation reshaping the competitive landscape, slower iteration can contribute to an ever-widening gap, underscoring the need for more open, AI-accelerated collaboration. We explore the potential impact of AI as a practical accelerator across the software development lifecycle, outlining potential efficiency gains from modern AI techniques, the infrastructure prerequisites to enable them, and how collaborative industry initiatives, such as S-CORE, could act as force multipliers for incumbents.
With cyber security now being a core pillar of safety and trust, the automotive industry must build a resilient and future-proof defence against emerging cyber vulnerabilities.
This panel will bring together automotive security experts to discuss: