- Why regulatory requirements and the need for traceability require clean data management
- How a cultural shift can help achieve data transparency
- How web-based frontends support that change
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Speeding up chip-to-cloud-architecture: Have end-to-end product transparency and efficient change management to be rethought?
Summary
Today, increasing regulatory requirements and the need for traceability require clean data management and the integration of different systems. In particular, UNR 156 on software update management highlights the importance of ensuring that certified values are not affected by each update.
Watch this CUBE recording of our expert panel with Markus Kühl, Managing Director and founder of Getetec GmbH and founder of PREEvision, Jochen Weiler, SUMS manager at Mercedes-Benz Vans, and moderator Daniel Metzinger, Senior Solution Manager at SPREAD and former R&D engineer at Mercedes-Benz. They discuss the topic of clean version management, the role of AI to automate data collection and integration, and how it can help to overcome tool breaks and data fragmentation. German audio with English subtitles.
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Daniel Metzinger is a Senior Solution Manager at SPREAD and worked for over 10 years for the automotive giant Mercedes-Benz. At SPREAD, he is an expert in wiring harnesses and assists customers in enhancing the efficiency and sustainability of their designs.
Published on
19.9.2024