Machine learning
Glossary Page
Machine learning is a branch of artificial intelligence that focuses on enhancing statistical models by utilizing past data. This improvement process, known as training, is facilitated by a learning algorithm. Once the model has been trained, it can be utilized to address the same kind of tasks that were covered by the training data. As a result, machine learning offers a substitute for explicit coding of a function.
https://link.springer.com/content/pdf/10.1007/978-3-030-93975-5.pdf
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T-Systems brings BMW Group suppliers into Catena-X
The BMW Group is expanding the Catena-X data ecosystem with support from T-Systems, a certified implementation partner. Through global onboarding, T-Systems connects suppliers of all sizes to Catena-X, enabling secure, scalable data exchange. Built on a federated architecture, Catena-X strengthens transparency, sustainability, and collaboration across the automotive supply chain.
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Sven Löffler
Sep 02, 2025
T-Systems & BMW launch Catena-X supplier-to-supplier meetup series
T-Systems and BMW are launching the Catena-X Supplier-to-Supplier Meetup Series, a monthly, regional platform designed by suppliers, for suppliers. These meetups foster open exchange, practical collaboration, and peer-to-peer learning across supply tiers, helping Tier 1 and Tier 2 suppliers accelerate Catena-X adoption, share real-world experiences, and build trusted networks for the future of the automotive value chain.
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Sven Löffler
Aug 28, 2025
AIAG-CX-VIP2025: Catena-X Hub North America VIP Immersion event
AIAG has launched the Catena-X Hub North America, advancing the adoption of trusted dataspace technology for the automotive industry. At its VIP Immersion event in Detroit, industry leaders explored use cases like Product Carbon Footprint tracking, Quality Detection and Prevention, and Demand & Capacity Management. With T-Systems and other partners driving implementation, the hub sets the stage for secure, scalable, and collaborative data sharing to boost efficiency, compliance, and innovation across the automotive value chain.
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Chris S. Langdon
Aug 22, 2025