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ATZelectronics worldwide

Artificial Intelligence in Productive Use in the Automotive Industry

  • 01-11-2023
  • Cover Story
Published in:
Author
Julian Reindl
Published in
ATZelectronics worldwide | Issue 11/2023

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Excerpt

The article delves into the transformative potential of artificial intelligence in the automotive industry, focusing on the barriers to its widespread adoption and the solutions offered by Machine Learning Operations (MLOps). It discusses the challenges of integrating AI into existing processes and the need for automated, repeatable processes to accelerate development. The use of MLOps, adapted from the DevOps approach, is highlighted as a method to streamline machine learning workflows, improve model quality, and facilitate rapid deployment. The article also explores the importance of explainable AI in identifying and correcting model errors, ensuring continuous improvement in AI applications. Through practical examples and a comprehensive overview of the MLOps process, the article underscores the potential for significant efficiency gains and cost savings in the automotive industry.
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previous article "Transformation will remain the modus operandi for many years to come"
next article The Hansen Report
Title
Artificial Intelligence in Productive Use in the Automotive Industry
Author
Julian Reindl
Publication date
01-11-2023
Publisher
Springer Fachmedien Wiesbaden
Published in
ATZelectronics worldwide / Issue 11/2023
Electronic ISSN: 2524-8804
DOI
https://doi.org/10.1007/s38314-023-1522-0

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