Enterprise Representation Simplification (ERS): Reducing Representational Complexity for Enterprise AI
Read the original on arXiv AI →Enterprise Representation Simplification (ERS) proposes reducing unnecessary representational complexity in enterprise information while preserving essential data within a defined scope. The paper introduces Enterprise Representation Complexity (ERC), a representation‑neutral model that measures complexity across four dimensions—Objects, Interactions, Behaviors, and Supporting Sources—at both representation and task levels. ERC enables comparison of architectural simplification versus retrieval optimization, supports an economic model of maintenance costs, and demonstrates that lower task‑level ERC can improve AI reasoning accuracy, as shown in Text‑to‑SQL research.
Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.