Tech Deep Dive: Federated queries in Dataspaces
Global economic and legal challenges require innovative solutions that balance efficiency, security, and data sovereignty. Industries such as automotive, logistics, and manufacturing are facing mounting pressure to optimize traffic flows, improve supply chain transparency, and enhance product traceability while ensuring compliance with strict data protection regulations.
To tackle these challenges, productive data spaces such as Mobility Dataspace and Catena-X are emerging as key enablers of secure, standardized, and sovereign data sharing across industries. These platforms facilitate cross-company collaboration without compromising sensitive information, unlocking new possibilities for AI-driven analytics, real-time decision-making, and regulatory compliance.
But how do these data spaces maintain sovereignty while leveraging global-scale AI and analytics? The answer lies in new cross-data technologies pioneered by GAIA-X and the International Dataspace Organisation (IDSA). These initiatives provide decentralized frameworks that empower businesses to:
- Ensure secure and controlled data exchange while maintaining full ownership over their information
- Optimize logistics and supply chains through AI-powered analytics and predictive modeling
- Facilitate real-time traffic optimization by enabling seamless data interoperability between stakeholders
- Enhance product traceability and compliance across global manufacturing ecosystems
In this whitepaper, our expert Daniel Wilms - along with other industry leaders - shares insights into how these cutting-edge data-sharing ecosystems are shaping the future of mobility, supply chain management, and regulatory compliance. Discover how organizations can leverage GAIA-X, IDSA, and data sovereignty principles to overcome economic and legal challenges on a global scale while staying in control of their most valuable asset—their data.
Download the full paper to explore how productive data spaces are transforming industries worldwide.