The Database Is The New Battleground For Enterprise AI
Search Data Management, March 24,2026
Agentic AI puts new pressure on enterprise databases, exposing gaps in the data access, security enforcement and tooling fragmentation that block production deployment.
Most organizations have moved past debating whether to invest in AI. The question now is whether their data infrastructure can support it.
There's a meaningful gap between AI ambition and AI reality in most enterprises today. Pilots are running, and proofs of concept are impressive. But production deployment, particularly for agentic AI, keeps running into the same wall. The models are ready. The data infrastructure often isn't.
Understanding why requires knowing what agentic AI demands from your data environment, and why those demands are fundamentally different from anything enterprises have managed before.