AI sovereignty is an emerging geopolitical concept referring to a country's ability to develop, deploy, and govern artificial intelligence technologies independently. It requires control over key layers such as data, computational infrastructure, chip manufacturing, and cloud capabilities.
The initial adoption of generative AI involved a bargain: immediate capability for future control. Enterprises feed proprietary data into third-party AI models, gaining powerful results but losing governance over these systems.
This article explores how agentic AI data sovereignty enables small firms to cut compliance costs by up to 70%. It also helps boost governance and stay ahead of traditional checks.
This content discusses how companies are taking control of their data to customize AI, facing the challenge of balancing data ownership with the need for a safe flow of high-quality data. It explores how AI factories can achieve scale, sustainability, and governance for reliable AI insights.