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In the rapidly evolving digital world, data has become a significant economic asset. The development of AI-based data products relies heavily on this valuable resource, making the strategies in the data economy more crucial than ever.
The focus of these strategies is threefold: facilitating free data flow, consolidating data sets, and networking of stakeholders. These objectives are designed to optimise the data economy, ensuring maximum benefit can be achieved.
The European data landscape is witnessing a collaborative effort from key players. T-Systems, a Deutsche Telekom subsidiary, plays a pivotal role in this endeavour. As a key player in the Data Intelligence Hub, T-Systems acts as a clearing house for Gaia-X and Catena-X, two major European data platforms.
The Catena-X Association and Industry Consortium, led by Oliver Ganser, is another significant contributor. Major cloud service providers like VMware by Dell, offering multi-cloud platforms supporting hybrid cloud integration, also join forces with these entities. Together, they work towards building interoperable, cross-border European data spaces, particularly in areas such as mobility data and industrial data ecosystems.
The goal is to overcome inaccessible data silos, a common challenge in the data economy. By consolidating data sets and networking stakeholders, these strategies aim to establish a common data economy, enabling seamless data flow and collaboration among various entities.
The importance of these strategies extends beyond the data economy. They are also relevant to digitalization, the development of AI, and the process of digitalization. By facilitating free data flow, consolidating data sets, and networking stakeholders, these strategies aim to address related issues and overcome legal uncertainties, paving the way for a more connected and harmonious European data landscape.
In conclusion, the strategies for the data economy are crucial in achieving a unified, efficient, and beneficial data landscape. By focusing on free data, consolidation of data sets, and networking of stakeholders, these strategies aim to maximise the benefit in the data economy, making it a vital component in the digital future.
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