Building the Unified AI Stack for Software-Defined Vehicles

ICUEUR26 Building the Unified AI Stack for Software-Defined Vehicles Natalie Stormanns

As vehicles become increasingly software-defined, the challenge is no longer adding more AI features- it’s creating an architecture that allows them to work together.

In this interview, Natalie Stormanns, Head of Infotainment and Digital Experience at MHP – A Porsche Company, explores why unified AI stacks, centralized compute, and integrated vehicle and cabin data are becoming essential to delivering safer, more intelligent, and more personalised driving experiences.

Sara’s Top Takeaways: What We Learned at InCabin USA 2026

Sara's Top Takeaways What We Learned at InCabin USA 2026

InCabin USA 2026 was so much fun, but of course we had to be productive too. Here’s what “productive” looked like for the attendees, exhibitors, sponsors, and partners who joined us in Detroit.

A special thank you to Tobii, our Founding Partner, for helping us build an event that prioritises a happy, engaged, and collaborative InCabin community. The industry showed up ready to share, challenge, learn, and connect – and the result was three fantastic days of discussion and discovery.

Safety, Ethics & AI: Pavan Vemuri on the Future of Intelligent Vehicles

Safety, Ethics & AI" Pavan Vemuri on the Future of Intelligent Vehicles

As the intelligent cabin evolves from a passive environment into an AI-driven, emotionally aware space, automakers face growing challenges around safety, privacy, transparency, and driver trust. In this article, we speak with Pavan Vemuri of SDVerse about the governance frameworks, ethical considerations, and safety standards needed to ensure next-generation in-cabin AI enhances the user experience without compromising autonomy or security.

AI in In-Cabin Systems: Real-Time Safety at the Edge

ICUSA26 AI in In-Cabin Systems: Real-Time Safety at the Edge

As in-cabin systems evolve from passive monitoring tools to active safety and decision-making layers, AI is fundamentally reshaping how vehicles interpret occupant state, behaviour, and intent. No longer limited to detecting isolated signals, modern systems are beginning to contextualise what is happening inside the vehicle in real time- enabling faster, more intelligent responses to critical scenarios. Drawing on over a decade of experience across safety-critical automotive systems, Vamsi Krishna Konka explores how AI is driving this shift, alongside the technical and ethical challenges that come with deploying real-time, privacy-conscious intelligence at the edge.

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