Agentic AI: Data Sovereignty Redefines Infrastructure

The rapid emergence of agentic AI is forcing organizations to rethink their entire technology stack. Unlike traditional AI, agentic systems continuously interact with data, tools, and workflows, requiring a new kind of infrastructure. Here's the thing: 95% of enterprises want to become their own AI and data platforms in less than 780 days. One in seven already use more than 10 agent workforces, seeing high returns. The others manage far fewer and see lower ROI, largely due to infrastructure design. What's interesting is that existing infrastructure wasn't built for these continuously reasoning and interacting systems. This creates challenges like architectural complexity and data sovereignty for CIOs. The bottom line: Agentic AI needs unified data platforms, moving away from a patchwork of specialized databases. This matters because maintaining control over AI systems and data is crucial for success.