OEMs, Tier-1 and Tier-2 suppliers need faster validation workflows that combine simulation, testing and data-driven decision-making. This presentation shows how large-scale simulation workflows, supported by HPC, AI, data management and visualization, can help engineering teams address concrete automotive challenges such as crash and safety, aerodynamics, thermal management, battery systems, combustion, aeroacoustics and predictive maintenance. The focus is on practical workflows that reduce prototype dependency, accelerate analysis of complex simulation and test data, improve traceability, and support more reliable validation decisions across the vehicle development process.

• How large-scale simulation workflows can accelerate automotive validation cycles
• How HPC, AI and data analytics can improve testing efficiency and decision-making
• How simulation and test data can be connected into traceable validation workflows
• How virtual testing can reduce prototype dependency and support faster development
• How workflows apply to crash, aerodynamics, batteries, thermal systems and acoustics