In this webinar, Nikolaus Keuth and Gerhard Schagerl will showcase AI methods supported by a data analytics toolchain to enhance decision-making with automotive data. They will highlight benefits through real-world examples:
- AI-supported concept design
- Requirements management to test case with LLM support
- Reduced test time in battery testing
- Optimized test requirements in validation fleets
- Telemetry-based usage profile analysis
- Reduced warranty costs
Learn how AI can accelerate product development, boost efficiency, and cut series support costs. Big data technologies will also be introduced for interactive exploration and self-service analysis of extensive measurements.