あなたのデータは脆弱だ:このインフラ改善なしにエージェントが失敗する理由
XebiaのCTO、Niels Zeilemakerは、エージェンティックAIの成功がデータの可用性に完全に依存すると強調する。強力なデータ取り込み基盤がなければ、AIエージェントは業務プロセスを効果的に自動化する規模に達できない。
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.