Label
Glossary page
Labels are metadata that provide identifying attributes relevant to users. They are key/value pairs that can be attached to Kubernetes objects such as Pods, Services, and Nodes. Labels are primarily used to organize and select subsets of objects, enabling users to apply a set of labels to objects and then use label selectors to find objects that match those labels. Labels are also used by other Kubernetes components, such as Replication Controllers, to manage groups of objects.
https://kubernetes.io/docs/reference/glossary/?all=true
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Connect & Integrate: Simplifying certificate management with AI
Connect & Integrate brings the T-Systems AI power within the solution to support organizations scale up and become efficient in their business workflows within Catena-X. The cross-use-case AI layer sits at the intersection of data preparation and exchange as a business enabler directly within the workflows.
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Tushar Yadav
Aug 03, 2026
IDSA’s Dataspaces and AI: Our input from applied Physial AI in RoX with dataspaces
The IDSA position paper "Data Spaces and AI" argues that the coordination problems facing agentic AI — identity, trust, access control, governance and provenance across organizational boundaries — are the same ones dataspaces already solve for cross-company data sharing. Rather than reinventing them for autonomous agents, the peer-to-peer logic behind standards like ISO/IEC 20151 can transfer directly to agent-to-agent interaction. T-Systems contributes a concrete proof point: RoX, a German consortium where competing robotics players and institutes such as DFKI and DLR share a sovereign data foundation for AI-based robotics. Built on Tractus-X and aligned with IDSA and Gaia-X, it already powers live robotic cells and is now extending that governed data supply to an agentic layer — showing in practice what the paper argues in principle.
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Chris S. Langdon
Jul 21, 2026
First Korea–Europe peer-to-peer dataspace transaction: L&F and EU Tier 1
In November 2025, the first peer-to-peer dataspace transaction between Korea and Europe was completed, with L&F (Korea) sharing product carbon footprint data with the automotive division of a major European Tier 1. Orchestrated by Prof. Chaisung Lim of Konkuk University and enabled by T-Systems' Dataspace-as-a-Service, the exchange ran on the Eclipse Tractus-X stack with the IDSA protocol and Gaia-X trust framework — the same standards underpinning Catena-X. The transaction proves that sovereign, governed data sharing can now travel across regions and regulatory environments without centralising data or surrendering control. Beyond secure, trusted file transfer, it points to a strategic foundation for AI-ready data and new value-creation scenarios, including controlled collaboration across ecosystems and even between competitors.
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Chris S. Langdon
Jun 29, 2026