Congrès International : SIA Intelligent Mobility Congress 2027

Session 1 - Software & Cybersecurity

This session covers software architectures, development approaches, and cybersecurity challenges introduced by SDV and AI.

Topics include, but are not limited to:

• Software architectures for SDV and AiDV
  (service‑oriented architectures, middleware, abstraction layers)

• Cooperation models and shared software platforms

• Cybersecurity in the context of AI:

  • AI‑based development and validation tools

  • AI‑related attack surfaces in vehicles

• Secure OTA strategies and lifecycle management

• Cybersecurity compliance and regulations
  (e.g. UNECE R155/R156) / Safety SOTIF & ADAS application

• Speed of development versus robustness and security

• Software‑driven business approaches and value creation

Session 2 - Hardware & Safety

This session focuses on the evolution of E/E architectures, hardware platforms, and safety concepts supporting SDV and automated driving.

Topics include:

• Evolution of E/E architectures:

  • Zonal, centralized, and hybrid approaches

  • Migration from legacy architectures

• ADAS up to Level 2++ and transition towards Level 4 automation

• Safety architectures for AI‑based functions

• Hardware platforms for SDV:

  • High‑performance computing

  • Chiplets and heterogeneous architectures

• Cost reduction strategies for SDV and E/E architectures, cost reduction and eco-design for sustainability and circular economy

• Functional safety and compliance evolution

• Specific challenges for commercial vehicles

Session 3 - Data & AI

This session addresses data and artificial intelligence across the vehicle lifecycle, from engineering to operation.

Topics include:

• AI for engineering:

  • Architecture design

  • Verification and validation

  • Toolchains and optimisation for sustainability

• AI model training, deployment, and lifecycle management

• Data strategies for SDV:

  • Data governance and reuse

  • Data sharing in a European context

• Cloud‑edge data architectures

• Regulatory aspects related to data and AI, and safety approach
  (EU and other regions)

• Data‑ and AI‑driven business models

• Synergies between passenger cars and commercial vehicles