Parallel Data Analysis
Parallel data analysis refers to the process of analyzing large volumes of data by dividing the workload across multiple computing resources that work in parallel. It involves breaking down the data and distributing the analysis tasks across multiple processors, servers, or computing nodes, allowing for faster and more efficient data processing. Parallel data analysis is commonly used in high-performance computing, big data analytics, and scientific research to expedite complex data analysis tasks.
Catena-X at Fastlane2digital: Reshaping the automotive industry
Explore the future of automotive collaboration with Dandan Wang, our dataspace expert, at Fastlane2digital. Delve into Catena-X, the pioneering open ecosystem, and discover seamless integration methods with Telekom Data Intelligence Hub.
Digital.ID – Become a trusted partner at Gaia-X Summit
Join Digital.ID experts at Gaia-X Summit 2023, Alicante, Spain, on Nov 9-10. Discover T-Systems' Digital.ID, your gateway to Gaia-X, at our roundtable featuring industry leaders. Visit our booth for networking opportunities. Learn how Digital.ID and T-Systems GXDCH empower trusted partnerships in data ecosystems.
AI and Digital Sovereignty at Smart Country Convention
Explore the future of AI and digital sovereignty with Frank Wisselink, Executive Product Manager at T-Systems International, at Smart Country Convention 2023. Delve into transformative AI landscapes and the EU's vision for digital sovereignty.
Unlocking Worldwide Data Collaboration: next-generation network services
Tokyo – November 15, 2023. T-Systems was invited by Robot Revolution & Industrial IoT Initiative to present at "Data Spaces and Manufacturing Industry Digital Transformation” webinar, and provided valuable insights into next-generation network services offered by leading telecommunications operators. Notably, the session attracted 200+ participants, addressed the growing demand for services supporting small and medium-sized enterprises with limited IT skills in participating in data spaces. Emphasis was also placed on supporting Japanese companies onboard to global data collaboration while ensuring trust, identity, and autonomy.
Dec 06, 2023
Eclipse Dataspace Working Group: T-Systems as a key member
Explore the collaborative journey of Telekom Data Intelligence Hub with the Eclipse Dataspace Working Group (EDWG), shaping the future of secure and innovative data exchange through open-source technologies. From pioneering dataspaces to global collaborations, discover how T-Systems is unlocking the value of data on its own terms.
Dec 05, 2023
Gaia-X Summit: Shaping trustful digital ecosystems
Explore the journey of trust and collaboration at Gaia-X Summit 2023, where T-Systems showcased its commitment through Digital.ID, contributing to the vision of a secure and decentralized digital future.
Lena Matsela, Nina Popanton
Nov 29, 2023