构建企业生成式AI生态，融合商业与技术系统提升智能决策能力
Sociotechnical Approach to Enterprise Generative Artificial Intelligence (E-GenAI)
- 用社会技术框架整合供应链、企业与客户关系系统
- 通过E-GenAI(OID)模型对齐大语言模型与业务需求
- 用有限自动机分析用户行为，支持个性化生成
本文提出一种社会技术方法，用于刻画企业生成式人工智能（E-GenAI）的业务生态系统。首先，聚焦供应商、企业与客户间通过供应链管理（SCM）、企业资源规划（ERP）和客户关系管理（CRM）平台建立的关系，利用OID模型协调商业智能（BI）、模糊逻辑（FL）与创新问题求解理论（TRIZ），并借助OIDK模型整合知识管理（KM）与不完全知识管理（IKM）。其次，探讨集成生成式AI的SCM、ERP、CRM平台与基于生成式AI的BI、FL、TRIZ、KM、IKM平台构成的E-GenAI生态系统，并通过E-GenAI（OID）模型对齐大型语言模型（LLMs）。最后，为理解大语言模型动态，采用有限自动机建模关注者与被关注者之间的关系，从而构建可识别社交媒体用户特定特征的生成模型。
原文摘要 · Abstract (English)
In this theoretical article, a sociotechnical approach is proposed to characterize. First, the business ecosystem, focusing on the relationships among Providers, Enterprise, and Customers through SCM, ERP, and CRM platforms to align: (1) Business Intelligence (BI), Fuzzy Logic (FL), and TRIZ (Theory of Inventive Problem Solving), through the OID model, and (2) Knowledge Management (KM) and Imperfect Knowledge Management (IKM), through the OIDK model. Second, the article explores the E-GenAI business ecosystem, which integrates GenAI-based platforms for SCM, ERP, and CRM with GenAI-based platforms for BI, FL, TRIZ, KM, and IKM, to align Large Language Models (LLMs) through the E-GenAI (OID) model. Finally, to understand the dynamics of LLMs, we utilize finite automata to model the relationships between Followers and Followees. This facilitates the construction of LLMs that can identify specific characteristics of users on a social media platform.
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