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基于深度数据治理的AI大模型应用研究OA

Research on AI Large Model Application Based on Deep Data Governance

中文摘要英文摘要

为探索以深度学习为核心的AI大模型技术在油品销售领域的智能化应用,推动企业数智化转型升级,该研究基于DeepSeek大模型在石油石化行业的应用现状,依托广东石油前期数据治理成果,搭建了广东石油人工智能中台,围绕"AI+场景"及"场景+AI"双路径开展大模型场景应用探索.通过分析实际业务需求,创新设计了五类AI智能体的落地实现方案,重点实现了AI营销助手、AI运维助手、AI客户优惠查询等典型场景的智能化应用.实践结果表明,该平台显著提升了企业数智化运营效率,具有广阔的应用前景与推广价值.

To explore the intelligent application of AI Large Model technology with Deep Learning as the core in the oil product sales field and promote the digital and intelligent transformation and upgrading of enterprises,this study bases on the current application status of the DeepSeek Large Model in the petroleum and petrochemical industry,leverages the previous data governance achievements of Guangdong Petroleum,and builds the AI middle-end platform of Guangdong Petroleum.It carries out the exploration of large model scenario application around the dual paths of"AI+Scenario"and"Scenario+AI".By analyzing actual business requirements,this study innovatively designs the implementation schemes for the landing of five types of AI Agent,and focuses on realizing the intelligent application of typical scenarios including AI marketing assistant,AI operation and maintenance assistant,and AI customer preferential inquiry.Practical application results show that this platform significantly improves the digital and intelligent operation efficiency of enterprises,and has broad application prospects and promotion value.

李俊

中国石化销售广东石油分公司,广东 广州 510620

信息技术与安全科学

AI大模型数据治理AI中台AI智能体

AI Large Modeldata governanceAI middle-end platformAI Agent

《现代信息科技》 2026 (6)

40-45,6

10.19850/j.cnki.2096-4706.2026.06.009

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