Xebia: Why AI agents fail without the right data foundation

artificialintelligence-news.com Jun 11, 2026

Xebia: Why AI agents fail without the right data foundation

Curated by Shubham · TechCapsules · Jun 11, 2026

AI-summarised brief · reviewed before publication

Xebia's global CTO, Niels Zeilemaker, emphasizes the importance of a strong data foundation for AI agents to function effectively. He notes that agents rely heavily on data cataloguing, which can be a weak link if not properly established. Zeilemaker warns that mistakes in data cataloguing can lead to AI agents misinterpreting or misusing data, resulting in poor performance. Xebia's focus is on helping organizations turn AI strategy into production-ready solutions, with a core value of sharing knowledge to drive innovation and quality.

💡 Why It Matters

· Zeilemaker's insights highlight the critical role of data quality in AI adoption, underscoring the need for organizations to prioritize data cataloguing and foundation building.
· As AI becomes increasingly integral to business operations, companies that fail to establish a solid data foundation risk undermining the effectiveness of their AI initiatives.

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