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Atos and VMware extend partnership

Data
Atos and VMware have announced the companies are extending their strategic partnership on the development of “Data Spaces”. Data Spaces are platforms that allow a greater exchange, collaboration, and monetisation of data between organisations 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.

Laurent Allard, head of sovereign cloud, EMEA, VMware, said, “With a comprehensive set of data space capabilities from VMware and Atos, organisations will gain access have a viable and rapid way to more securely share, manage and monetise their data.

“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, added, “VMware and Atos are long-term partners and share a commitment to helping organisations drive value from data. 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.”

Atos and VMware plan to combine VMware’s multi-cloud and app modernisation 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.

Organisations can also use existing data to create machine learning and artificial intelligence services, and enable new industry-specific services for: healthcare and life sciences, financial services, and utilities.