기업 AI 추진이 막히는 이유, 그리고 CIO의 돌파구

This article discusses practical challenges and recommended practices for deploying AI in enterprises, emphasizing first-principles workflow redesign, prioritizing critical data preparation, strong governance and observability to prevent shadow AI, careful economic evaluation of PoCs before scaling, and long-term operational controls (drift monitoring, model cards, open standards to avoid vendor lock-in and technical debt).