AI-powered End of Line data analytics in the automotive industry

,  8am Detroit | 2pm Stuttgart | 5.30pm Mumbai
DataTesting and Validation

Milan Zivadinovic, Lead Engineer Data Science, AVL | LinkedIn

Gerhard Schagerl, Product Line Manager Data Intelligence, AVL | LinkedIn

Can’t attend live? Register anyway, and we’ll send you a link to the slides and a video of the webinar when it’s finished.

Advanced data science methodologies increase efficiency in development, production and aftersales across numerous automotive industry applications.

Together with leading OEMs, AVL has developed various algorithms to analyse time-series data generated from simulation, testbeds, or vehicles. These algorithms enable system stability monitoring, condition monitoring, anomaly detection and failure prediction in development and the field.

In this free, 60-minute webinar, AVL’s Milan Zivadinovic and Gerhard Schagerl explain how to improve product qualification using an innovative End of Line (EOL) test data analysis approach.

Key topics and takeaways:

  • Learn about AVL’s advanced data analytics solutions for automotive time-series data
  • Discover how AI algorithms can improve quality and reduce costs in EOL product qualification
  • Find out which environments the methodology is suitable for (cold test, hot test, combustion engines and electrified components)

Meet the experts

Gerhard Schagerl

Product Line Manager Data Intelligence, AVL