Atos and VMware recently announced an extension of the companies’ strategic partnership by working to deliver an integrated set of capabilities to help speed up the development of 'Data Spaces'.
Data Spaces are platforms that allow for greater exchange, collaboration, and monetization of data between organizations or industries, independently of the underlying infrastructure, whilst enabling data sovereignty and interoperability.
With the VMware and Atos collaboration effort on Data Space development, the companies plan to deliver an integrated set of capabilities that help enable data and industry applications to be used and shared more strategically to boost national and regional digital economies. The expanded collaboration will deliver capabilities aligned to the Gaia-X architecture and serve as a key enabler and booster of the Gaia-X initiative, which seeks to accelerate the exchange of data through new digital platforms that comply with common rules.
Atos and VMware plan to combine VMware’s multi-cloud and app modernization capabilities with the Atos cloud, as well as cybersecurity expertise and technology integration from Atos. The capabilities are designed to provide businesses and industries with the key building blocks to rapidly design, develop, deploy, better secure, and manage Data Spaces that are compliant with jurisdictional data governance requirements.
Laurent Allard, Head of Sovereign Cloud EMEA, VMware
Today’s world is multi-cloud. Aligned to the principles of Gaia-X, the suite of capabilities will be designed to deliver the interoperability, reversibility and security required for European businesses and industries to create value from data and drive their digital ambitions faster.
Frédéric Malicki, CTO, Southern Europe, Atos
By supporting the acceleration of Data Space development and data sovereignty with the capabilities from VMware and Atos, we expect to give customers the tools to drive value not just from their own data, but also from federated data, collaboratively with partners and peers. Organizations can transform existing data into new services that, for example, could help farmers better predict the weather or human health organizations improve living conditions for the elderly with automated energy management.
