Can You Trust AI Enough to Act on It?

High model accuracy is not the same as trustworthy AI, and the gap between the two is where most enterprise deployments fall apart. In this ODBMS Q&A, Biplab Banerjee breaks down why AI trust is ultimately an architectural problem, not a model problem. Drawing on real-world experience with telecom operators at scale, he explains the critical difference between an AI recommendation and a system decision, what happens when those two things get tightly coupled without a deterministic decisioning layer in between, and what the infrastructure actually needs to look like when AI outputs must drive operational actions in milliseconds across millions of events.