New paper proposes "knowledge architecture" for enterprise AI systems

A new paper proposes the concept of "knowledge architecture" as a discipline for managing organizational knowledge, drawing parallels to established data engineering principles. The authors argue that the rise of large language models (LLMs) necessitates a shift from managing data records to managing knowledge artifacts, requiring new approaches for ingestion, change detection, provenance, and cataloging. Emerging formats like LLM Wiki and Open Knowledge Format (OKF) are seen as early indicators of this architectural evolution, which becomes crucial as organizational knowledge transitions from a passive resource to an active operational asset. AI

IMPACT This paper suggests a new architectural discipline for enterprise AI, potentially impacting how organizations manage and operationalize knowledge for LLM-driven systems.

RANK_REASON The cluster contains a single academic paper detailing a new conceptual framework for managing AI systems. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• enterprise artificial intelligence (AI) systems
• knowledge architecture
• Knowledge-Centric Information Systems
• large-language models
• LLM Wiki
• Open Knowledge Format (OKF)

• paper
• infra

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