As vehicle systems become more complex, test engineers are under increasing pressure to tackle the test coverage challenge faster without sacrificing quality. AI can help, but its value goes well beyond generating code. In this session, we'll look at how AI can support the automotive test engineering workflow, from understanding test requirements and configuring hardware to developing test sequences, troubleshooting, and analyzing results. We'll also demonstrate how NI's Nigel AI can help engineers reduce manual effort, streamline test development, and spend more time solving product quality challenges.

• Understand how AI can reduce manual effort across the automotive test engineering workflow
• Explore how AI can turn test requirements into hardware configurations and automated test sequences
• See how NI's Nigel AI can streamline test development, troubleshooting, and data analysis