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Who really controls your data and AI?
Explore five levels of sovereignty and build a strategy for
greater control, resilience and trust. |
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As AI becomes more embedded in enterprise operations, knowing where your data resides is no longer enough. Organizations also need to understand who controls it, how AI systems can access and act on it, and whether governance decisions can be enforced and proven.
Data and AI Sovereignty, the new O’Reilly report from Actian, provides a detailed overview of sovereign data and AI across cloud, on-premises, and edge environments. It explains why sovereignty has evolved from a compliance concern into an enterprise architecture imperative." |
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Inside the report, you’ll learn:
- Five trade-offs between capability, cost, complexity, resilience, and control.
- Three core capabilities at the heart of a sovereignty strategy.
- How to build a hybrid sovereignty strategy that applies the right level of control to different workloads.
- How to use metadata to strengthen governance across your AI environments.
- How to prioritize sovereignty risks and assess readiness.
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Take control of your data and AI strategy. Assess your sovereignty readiness, identify critical dependencies, and determine where greater control matters most as regulations, technologies, and geopolitical conditions evolve.
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