首页|基于人工智能技术的政务数据运营创新模式探索

基于人工智能技术的政务数据运营创新模式探索

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针对政务数据建设中存在的政务App满意度低和政务数据资产创新应用少的两大挑战,通过引入生成式AI等人工智能技术,探讨了政务数据平台的用户满意度提升策略及政务数据资产的有效利用方法,推动政务数据运营的升级,使政务App更加智能和便捷.具体则聚焦数据要素驱动的政务数据平台运营机制的智能化改进,系统性地设计了政务数据平台运营创新的理论机制和技术架构,提出了创新且智能化的数据应用,包括政务App评论分析、政务数据支撑报告、智能客服、个性化服务及精准化检索等 5 大应用,并提出了加速实现政务数据管理现代化的政策建议,旨在促进政务数据共享和开放,培育政务数据要素市场,有助于实现数字中国战略目标.
Exploring innovative government data operations models based on artificial intelligence technologies
Addressing the two major challenges in government data construction,specifically,low user satisfaction with government Apps and limited innovation in the application of government data assets,this study explores strategies for enhancing user satisfaction and effective utilization of government data assets within the context of the government data platform.This research is conducted within the context of the government data platform and incorporates the integration of advanced technologies such as generative AI and other artificial intelligence methods.Consequently,this effort aims to drive the evolution of government data operations and enhance the government applications.Specifically,this research focuses on the intelligent enhancement of the government data platform.It systematically designs the theoretical mechanisms and technical architecture for innovating government data platform operations.Additionally,this research proposes innovative and intelligent data applications,including government App review analysis,government data support reports,intelligent customer service,personalized services,and precision retrieval,among others.Finally,this research puts forward policy to expedite the modernization of government data management.

government data platformgovernment Appuser satisfactionartificial intelligencedata operations

杨帆、梁吉光、黎成权、王霞、王晟

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河南省行政审批和政务信息管理局,河南 郑州 450000

河南省政务大数据中心,河南 郑州 450000

德勤管理咨询(上海)有限公司,北京 100022

清华大学医学院,北京 100084

清华大学智慧医疗研究院,北京 100084

苏州九化应用科技研究有限公司,江苏 苏州 215131

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政务数据平台 政务App 用户满意度 人工智能 数据运营

2024

中国高新科技
中华预防医学会,国家食品安全风险评估中心

中国高新科技

ISSN:
年,卷(期):2024.(2)
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