AI Belongs Inside DataOps, Not Just at the End of the Pipeline

As AI drives higher demands for speed, scale, and governance, human-driven data operations no longer hold up. This article argues that AI must move upstream into DataOps, where it can automate enforcement, detect anomalies, maintain documentation, and evaluate readiness continuously. AI-augmented DataOps doesn’t replace engineers—it frees them to design better systems while improving reliability and trust at enterprise scale.