Xebia: Why AI agents fail without the right data foundation

Niels Zeilemaker, CTO at Xebia, emphasizes the critical need for data availability for AI agents. Without proper data preparation, agents may struggle to access or correctly interpret information, leading to errors not solely attributable to the agents themselves but to the foundational data structure. He highlights the importance of data cataloging, noting that agents lack the fallback options humans have. If documentation is inadequate, agents rely solely on the catalog, which can hinder their performance. This necessitates a reevaluation of how organizations manage their data.