Publications

The Loire release of the Gaia-X Trust Framework emphasizes compliance for Cloud Services, aligning with key national and international standards. This article provides a comprehensive guide to achieving Gaia-X compliance for Cloud Services, specifically through the Digital.ID solution from T-Systems. It outlines the requirements, processes, and benefits of adopting this framework, ensuring that services meet Gaia-X's stringent trust and interoperability standards.

As Europe embraces digital transformation, data sovereignty has become a critical priority for businesses striving to align with European values of privacy, security, and control. Gaia-X, a pan-European initiative, provides a secure, interoperable framework for fostering decentralized digital ecosystems that prioritize data sovereignty. With the support of industry leaders like T-Systems, Gaia-X enables businesses to address challenges such as data dependency, regulatory compliance, and innovation bottlenecks. By leveraging Gaia-X’s specifications and infrastructure, industries can build robust, secure data ecosystems that promote cross-sector collaboration while ensuring data integrity and compliance. This partnership drives the future of Europe’s digital economy, empowering businesses to innovate securely, maintain control over their data, and remain competitive in a rapidly evolving digital landscape.

T-Systems joins global partners to launch cutting-edge dataspace prototypes using Eclipse Foundation and Gaia-X open-source software. Our sandbox, T-Systems Living Lab, deployed on Open Telekom Cloud, allows industries to innovate securely while upholding European values. Unleash cross-organizational digital twins for groundbreaking applications like carbon footprint tracking. Discover more in our new publication!

Our thinking on data issues of management importance in refereed publications that go deeper than our short stories. Dataspace solves today's data and data analytics productivity problem. Dataspace .,, is a shift from Big Data (high cost) to Better Data (higher returns) - providing the right data with relevant information content and quality (think: food labels for ingredients and nutritional value), and all in the right quantity is peer-to-peer data communications network - not storage - and with data sovereignty protection so that you can exchange data and maintain control of the rights to your data at all times

Automotive is evolving and merging into a larger mobility sector due to climate regulation on the one hand, and new digital capabilities with software (see SW-defined car) and data as its fuel (see dataspace) on the other hand.

Most companies have already relentlessly improved quality internally. Yet beyond company boundaries it is often another story. In the past, going beyond internal policies, computer systems and data networks was simply too complicated. Now, change is bound to happen. Looking at the value chain of glass refinement you see many different stakeholders, all with the same goal: supply goods of the highest quality – with the lowest possible reject rate. The temperature of the raw material plays a big role for quality. Therefore, one would want to integrate the data along the entire value chain in order to identify possible sources of errors and reduce reject rates.

This is not a story about superstars or the world’s leading automaker. Instead it is a story about a medium-sized company; a story about a German medium-sized company, the type that collectively forms the backbone of the German economy, the 4th largest of the world. Furthermore, the story is not about building a rocket to Mars or inventing hyperloop transportation. Instead it is about improving an existing production system. Yet, how it’s done and what has been accomplished is not at all boring or ordinary. It is a story how a group of six new hires at Telekom went to this medium-sized company and improved a real-world production system using standard Telekom IoT components or building blocks in 100 days – on the side. If they can do it …

Virtually every company, regardless of its target market, aims to leverage competitive advantages, cut costs and optimize processes. In this sense, companies with the ability to analyze, interpret and use data through integration into their process chains would have an immanent growth lever in their hands.

Industry 4.0, artificial intelligence, cloud computing: The automation and networking of all living and working areas are establishing new business models in all sectors and are changing corporate structures. The basis for this interplay of services is the exchange of data.