What is sovereign AI? Enterprise AI for global compliance

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1. What is Sovereign AI? | Glossary | HPE

GreenLake is the cloud delivering a unified platform experience—enabling you to simplify IT, reduce costs and transform faster. Supercharge your IT operations with a mesh of intelligent AI agents that can reason to solve problems across your hybrid IT estate. # Sovereign AI What is Sovereign AI? Sovereign AI is an approach to artificial intelligence that gives a country or organization greater control over how AI systems are built, deployed, governed, and operated. Sovereign AI matters for organizations and governments that need AI environments aligned with their own security, compliance, privacy, and governance requirements. * Sovereign AI is about maintaining control over AI data, infrastructure, operations, and governance. * Sovereign AI often depends on trusted infrastructure, clear governance, and control over where AI systems run and who can access them. | Data, infrastructure, operations, access, governance, and compliance. HPE supports sovereign AI with infrastructure and solutions designed to help organizations move from pilot to production with stronger security, compliance, governance, and control over sensitive data and AI operations.

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2. What is sovereign AI? – McKinsey

Luca Bennici: We define sovereign AI as the ability of a country or an organization to build, run, and govern AI in a way that aligns with its

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3. What is AI Sovereignty? | IBM

AI sovereignty is an organization’s or nation’s capacity to control its artificial intelligence (AI) technology stack, including related IT infrastructure, data, AI models and operations. As global AI adoption increases, AI sovereignty has evolved from a data residency concern into a holistic strategy. Modern AI systems operate continuously and depend on sensitive data and proprietary models. Businesses now require authority over where data resides and how it is used. They need AI-driven governance over who operates AI platforms, where and how models are deployed and whether regulatory requirements are enforced. Overall, AI sovereignty goes beyond typical data sovereignty and data compliance regulations. It entails preserving autonomy over data security and compliance, ensuring operational resilience and preserving competitiveness in the age of AI. AI sovereignty has become a priority as organizations scale their AI and generative AI (gen AI) workloads. This trend is driving investment in sovereign cloud and AI that businesses—from startups to large enterprises—can fully control and govern. ### Data sovereignty.

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4. Sovereign AI: What it is, and 6 ways states are building it | World Economic For

* Here are the six strategic pillars guiding states’ development of Sovereign AI. ## **National security considerations for Sovereign AI**. Sovereign AI, by its nature, is aimed at bolstering a nation’s ability to protect and advance its interests through the strategic use of AI. Over time, Sovereign AI aims to reduce reliance on foreign AI technologies by developing domestic AI capabilities and ensuring access to critical data, technologies, expertise and infrastructure nationally. ## **A strategic roadmap for developing Sovereign AI**. In general, there are six strategic pillars that guide nations in building their sovereign AI capabilities:. By investing in human capital, nations can ensure they have the talent needed to fuel the national AI industry and drive innovation. * **International cooperation:** While developing Sovereign AI is about harnessing capabilities within national borders, international cooperation remains crucial. Engaging in dialogues and partnerships with other nations can help set global standards for AI, facilitate cross-border data flows under agreed-upon norms and address shared challenges such as privacy and cybersecurity threats.

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