당신의 데이터는 부실하다: 이 인프라 개선 없이 에이전트는 실패한다
xebia cto niels zeilemaker는 에이전틱 AI의 성공이 데이터 가용성에 전적으로 달려 있다고 강조합니다. 강력한 데이터 수집 기반이 없다면 AI 에이전트는 비즈니스 프로세스를 효과적으로 자동화할 만큼 확장될 수 없습니다.
xebia global cto niels zeilemaker outlined the prerequisite infrastructure required for organizations to successfully deploy and scale ai agents. he argues that while agents offer process acceleration, their success is contingent on making internal data accessible and consumable by ai systems. zeilemaker emphasized that agentic ai scales on data strength, implying that current data architectures are often insufficient for autonomous workflows. this perspective challenges the rush to deploy advanced models, suggesting that data engineering is the primary bottleneck for enterprise ai adoption. companies prioritizing agent capabilities over data readiness may face failed deployments as agents lack the necessary context to operate.