The global automotive industry is at a pivotal moment, driven by stringent emission regulations and a rapid shift towards electric vehicles. In this dynamic landscape, efficient production testing and high-quality assessment of the device under test (DUT) have never been more critical. New assessment methodologies ensure high-level product and process quality, minimizing the risk of costly recalls and compensation claims.
In this webinar, we will explore how high-quality result data, centralized data management, and machine learning (ML) algorithms can substantially improve the production testing processes and turn testbed data into valuable insights that enhance product and process quality.