Pattern Recognition

Glossary Page

Pattern recognition is a field of study within artificial intelligence and machine learning that focuses on the identification and analysis of patterns or regularities in data. It involves developing algorithms and models that can recognize and classify patterns in various types of data, such as images, text, sound, or numerical data. Pattern recognition techniques are widely used in applications like image recognition, speech recognition, data mining, and predictive analytics. The goal of pattern recognition is to enable computers to automatically identify and understand patterns, leading to automated decision-making and intelligent data analysis.

https://www.arm.com/glossary/pattern-recognition#:~:text=Pattern%20recognition%20is%20a%20data,familiar%20patterns%20quickly%20and%20accurately. external-link

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T-Systems launches Catena-X supplier-to-supplier meetup series

T-Systems is 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 15, 2025

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T-Systems is now Catena-X-certified for Company Certificate Management

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Andrea Garcia

Jul 25, 2025

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ADIS: Traceability & PCF in Catena-X

ADIS, a leading Tier-1 supplier, partnered with T-Systems to enable scalable, Catena-X-compliant data exchange. Leveraging the "Connect & Integrate" solution, ADIS achieved fast onboarding via a sandbox-to-Pre-Prod approach, enhancing traceability and carbon footprint visibility. This strategic move aligns with industry standards, ensures regulatory compliance, and supports long-term participation in the evolving Catena-X ecosystem—without major in-house development.

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Andrea Garcia

Jun 10, 2025