The race to deliver high-performance electric vehicles forces engineering leaders to rethink how they design and validate complex powertrain systems. Traditional CAE workflows face bottlenecks, from data gaps to compute limits, that slow innovation.

In this webinar, Diego Paterna of Schaeffler and SimScale’s Ioannis Tsavlidis explore the opportunities and challenges of applying new methods such as Physics AI surrogate models to accelerate simulation predictions and AI agents to automate workflows.

The experts share perspectives on how engineering teams can accelerate design cycles, reduce costs, and collaborate more effectively across the supply chain.

Key topics and takeaways:

• Where current simulation workflows hit limits and how AI and cloud open new possibilities
• How engineering leaders can approach AI-driven methods in practice, and incorporate them in production workflows
• What’s coming next: the path from assisted to autonomous simulation and its implications for engineering strategy