AI agents bypass dashboards and query databases directly. This article explains what that means for the architecture of enterprise data systems and systems of record.
AI Doesn’t Read Dashboards… and That Changes Everything for Databases
Tag: Agentic
Agentic systems do not wait for instructions. They plan, act, and iterate autonomously, often making multiple decisions in rapid succession.
This changes the shape of demand placed on underlying systems. What was once human-paced and predictable becomes continuous, parallel, and difficult to anticipate.
Databases Were Built for Humans – AI Agents Change the Equation
Databases were designed for human-paced interaction – sessions, think time and deliberate intent. AI agents remove all three assumptions simultaneously.
Inferencing Is a Database Problem Disguised as an AI Problem
AI inferencing is a database problem disguised as an AI problem. Real-time model workloads expose latency and concurrency demands that enterprise storage wasn’t designed for.
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