Published on
February 13, 2025
Sovereignty in AI and Cloud
- Sovereignty in AI focuses on regulatory compliance, data protection, and ethical standards.
- Sovereign cloud solutions ensure compliance but involve cost, scalability, and complexity trade-offs.
- States and entities must balance operational needs with sovereignty goals through robust impact analysis.
By the end of 2024, global data generation is projected to reach 149 zettabytes, driven predominantly by cloud technologies. This exponential growth underscores the critical importance of data sovereignty, particularly with the escalating adoption of Generative AI (GenAI). Data sovereignty ensures that data is governed by the laws of the nation where it is collected and processed, encompassing aspects such as algorithmic transparency and ethical standards.
While sovereign cloud solutions offer compliance benefits, they also present challenges including increased costs and limited scalability. Therefore, a comprehensive impact analysis is essential for entities to align their AI systems with regulatory requirements and safeguard sensitive information
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