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White paper: how data sovereignty enables the next future of automotive

Take a deep dive into data spaces – #1

Fixing the data bottleneck

Data is a fundamental asset when it comes to leveraging analytics, machine learning and AI for automotive use cases, e. g. resiliency in supply chains, automation of manufacturing processes, autonomous driving and other mobility services. However, current data challenges such as low quality and limited access across the value chain hinder the full potential of these technologies and their applications. This white paper introduces three themes how to tackle these challenges.

The authors

Dr. Christian Hort
Dr. Christian Hort Senior Vice President Automotive T-Systems International GmbH
Prof. Dr. Christoph Schlueter Langdon
Prof. Dr. Christoph Schlueter Langdon Data Analytics Executive and Scientist; Product Manager Catena-X T-Systems International GmbH

Find answers to pertinent questions like:

  • How to create manageable success with AI consistently by fixing the data challenges?
  • How to get past misleading “data icebergs”, build data factories and create data products?
  • How to view data spaces as a supply chain for data – sovereign, decentralized and on-demand?


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Download white paper to know more

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