Big Data in Core Telco

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Big Data in Core Telco refers to the vast and diverse data generated within telecommunications networks. It includes structured and unstructured data from network devices, call records, customer interactions, and more. This data is collected, stored, and analyzed to optimize network operations, improve customer experience, and make data-driven decisions. The three Vs of Big Data (volume, velocity, variety) characterize the data. Technologies like distributed computing and real-time analytics are used to process this data, uncover patterns, and predict network failures. Insights gained from Big Data analysis enhance network efficiency, reliability, personalized services, and drive innovation in telecommunications.

https://www.globaltechcouncil.org/big-data/role-of-big-data-analytics-in-telecom-industry/ external-link

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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

May 28, 2025

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Making manufacturing systems talk to each other

Interoperability in manufacturing is often misunderstood. Not because companies doubt its importance, but because it's difficult to visualize what success looks like. This blog uses simple analogies to explain the core challenges: outdated machines that can’t “speak” to modern systems, and people hesitant to share data without context or trust. With solutions like Asset Administration Shells and Data Spaces, manufacturers can unlock hidden value, foster secure collaboration, and take real steps toward digital transformation.

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Nick Jephcott

May 18, 2025

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Enabling cross-ecosystem commerce: A perspective by NTT and T-Systems

T-Systems and NTT are shaping the future of trusted global data exchange by combining telecom-grade infrastructure with federated identity and dataspace interoperability. Their joint contributions to the IDSA paper and cross-border testbeds between Europe and Japan show how telcos can drive secure, scalable, and regulation-compliant data collaboration across ecosystems. This approach supports real-world use cases like Digital Product Passports, predictive maintenance, and circular economy models—laying the groundwork for a network of sovereign, interoperable digital infrastructures.

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Lena Matsela

May 13, 2025