SOURCE-LINKED INTELLIGENCE
Data Agents: Agentic Data Systems
Traditional data systems face profound limitations in the AI era, relying on human-crafted pipelines, lacking semantic understanding of heterogeneous data, and operating through rigid, reactive processing. To address these challenges, we propose a new paradigm called the Data Agent, designed to manage, process, and analyze data with minimal human intervention. Data agents autonomously execute a wide range of data-related tasks, transforming traditional data systems by shifting from manual design to autonomous orchestration, from literal manipulation to semantic interpretation, and from reactiv
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T05:45:37.000Z
First collected: 2026-09-23T08:01:43.213Z. This is not the publication date.