On Demand

How to Turn Production Testbed Data into Valuable Insights With AI

More than OK/NOT OK
Visual Production Testing

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.

Recording available - 60 min, 10:00 AM CEST
Presentation language
English
Topics
  • Diverse production landscape: Understand today's data requirements
  • Use of test field data: Learn how to extract maximum values from your data efficiently
  • Train ML models: Gain insight into how to train ML models to analyze data in real-time
  • Boost evaluation quality: Find out how to improve the accuracy of pass/fail assessments (OK/NOT-OK ) for e-axle use cases

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Speaker Kurt Reininger

Kurt Reininger
Business Developer and Solution Engineer- Production Testing

AVL List GmbH

 

Speaker Bernhard Gröchenig

Bernhard Gröchenig
Senior Product Manager - Production Testing

AVL List GmbH

 

How to turn testbed data into valuable insights_Presentation
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