Stories

Retail analytics is a vital Motion Data capability and a powerful product that can help companies plan and execute their strategies more effectively and profitably than they could using more conventional store planning techniques.

The integration between Motion Data and Mobility Dataspaces can act as a powerful enabler for mobility industry to implement sustainable, fair, safer and optimal mobility services

Implementing Catena-X with the first operating company Cofinity-X for automotive enterprises

It is taking longer and longer to get from Point A to point B. One possible solution would be to link public transportation with micromobility, such as electric scooters and on-demand shuttles (integrated public transport). As of 2021, micromobility has successfully established itself, but integrated, intermodal offerings are still not in sight, and one reason could be a lack of user value. So, the question is: are there user value problems associated with integrated public transport? Our investigation resorts to utilizing simulations. Scenarios are tested in the city of Hamburg. To designing successful integrated public transport solutions, results would be crucial.

Ever wondered why we are missing out on getting from point A to point B more quickly in urban areas, such as with intermodal travel? Learn how the Telekom Data Intelligence Hub (DIH) team is using a next-generation European standards-based data sharing and exchange technology referred to as dataspace to speed up personal travel.

The European Funding Project FENIX connects different pilot regions and transport corridors, to do so the project relies on the know-how of T-Systems.

GAIA-X aims at building a unified European Data-Infrastructure which acts as a cross border Ecosystem. GAIA-X.NRW aims at enabling small and middle-sized companies to participate in the data boom and to reap benefits by being able to use data provided by large companies.

We are happy and excited to announce the partnership between T-Systems and sovity (link), a spin-off of the Fraunhofer ISST which provides technology to enable data sovereignty. Together we are taking a step further towards the future of data economy, the secure and controlled exchange of data between companies based on Gaia-X and IDS standards.

How do I manage and share my data, how can I analyze it? These are not new questions. But how can I accomplish these tasks under the assumption that I retain full sovereignty over this data on the one hand, but on the other hand build dataspaces on a federated architecture approach?