Tech

Data protection and driver of innovation, all the reasons for the sovereign cloud

Businesses demand a clear regulatory and geopolitical environment for their investments in innovation and AI

by Corrado Poggi

(Adobe Stock)

3' min read

Translated by AI
Versione italiana

3' min read

Translated by AI
Versione italiana

(Il Sole 24 Ore Radiocor) - In the age of artificial intelligence, sovereignty is no longer a constraint, but a condition that makes innovation possible. Companies investing in AI want to do so in a clear regulatory and geopolitical context, in which data localisation, jurisdiction rules and infrastructure control are not compromised. The challenge today is not to choose between global scale and local governance, but to be able to make both dimensions coexist in a single architecture.

When sovereignty is addressed from the outset, as an integral part of the design, it stops being a hindrance and becomes a competitive advantage. Cloud platforms designed to guarantee data residency, transparent legal rules and real operational control make it possible to develop robust and reliable artificial intelligence solutions without sacrificing performance, flexibility and integration capabilities.

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The issue is far from abstract. AI models are not neutral: to function, they need large amounts of data, continuous updates and adaptations to the contexts in which they operate. This means handling sensitive information, automated decision-making processes and strategic know-how. Without real sovereignty over infrastructure, the risk is not only of breaking the rules, but of losing control over time over how AI evolves and who can use it.

"When platforms are designed for data residency, jurisdictional clarity and true operational control, while offering the performance of a global cloud," explains Richard Smith, Executive Vice President and General Manager, EMEA Cloud Infrastructure at Oracle, "sovereignty becomes a structural element. It becomes the framework that enables the development of reliable, scalable and defensible AI'.

On this basis, the new 'digital trust' takes shape. A trust that is based on certain concrete elements: physically isolated data within the regions, real and local operational management, clear legal rules and security activities entrusted to people working in the countries served. Declarations of principle or contractual clauses are no longer enough: we need infrastructures designed to make these commitments verifiable.

In this scenario, the sovereign cloud becomes a key infrastructure to bring AI out of labs and into production processes, especially in the most regulated sectors such as healthcare, finance, energy, defence and public administration, where error is not an option and trust is an operational prerequisite.

In Europe, this approach is already producing results. Public administrations are modernising citizen services by keeping sensitive data within national borders, while industry is developing local, multilingual and increasingly specialised AI models. 'Partners such as Almawave, of the Almaviva group,' Smith notes, 'are building multilingual generative models entirely in Italy and running them on Oracle Cloud Infrastructure, offering European companies local AI, capable of meeting both performance and regulatory compliance needs.

For Europe, cloud sovereignty also takes on a broader meaning, related to industrial policy. It is not only about protecting data, but also about building autonomous technology supply chains, developing skills and reducing structural dependencies on external platforms. In this perspective, the sovereign cloud is not a defensive choice, but an investment in future competitiveness.

In a context of changing rules and increasing expectations from citizens and customers, trust, sovereignty and resilience become distinctive elements. The most advanced companies do not simply chase artificial intelligence, but design it on a solid basis, integrating it into their technological and development strategies from the outset. In this scenario, sovereignty is not a technical issue reserved for insiders, but a strategic choice that directly affects the ability of companies and institutions to govern artificial intelligence over time. Integrating control, trust and accountability right from the technological foundations means creating the conditions for a sustainable, reliable and competitive AI. It is on this terrain that the real game will be played: not just adopting AI, but deciding who guides its evolution and under what rules.

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