[2506.05520] Toward Data Systems That Are Business Semantic Centric and AI Agents Assisted

[2506.05520] Toward Data Systems That Are Business Semantic Centric and AI Agents Assisted

arXiv - AI 4 min read

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Abstract page for arXiv paper 2506.05520: Toward Data Systems That Are Business Semantic Centric and AI Agents Assisted

Computer Science > Artificial Intelligence arXiv:2506.05520 (cs) [Submitted on 5 Jun 2025 (v1), last revised 24 Mar 2026 (this version, v3)] Title:Toward Data Systems That Are Business Semantic Centric and AI Agents Assisted Authors:Cecil Pang View a PDF of the paper titled Toward Data Systems That Are Business Semantic Centric and AI Agents Assisted, by Cecil Pang View PDF Abstract:Contemporary businesses operate in dynamic environments requiring rapid adaptation to achieve goals and maintain competitiveness. Existing data platforms often fall short by emphasizing tools over alignment with business needs, resulting in inefficiencies and delays. To address this gap, I propose the Business Semantics Centric, AI Agents Assisted Data System (BSDS), a holistic system that integrates architecture, workflows, and team organization to ensure data systems are tailored to business priorities rather than dictated by technical constraints. BSDS redefines data systems as dynamic enablers of business success, transforming them from passive tools into active drivers of organizational growth. BSDS has a modular architecture that comprises curated data linked to business entities, a knowledge base for context-aware AI agents, and efficient data pipelines. AI agents play a pivotal role in assisting with data access and system management, reducing human effort, and improving scalability. Complementing this architecture, BSDS incorporates workflows optimized for both exploratory data analysi...

Originally published on March 25, 2026. Curated by AI News.

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