摘要
[目的/意义]研究数据重用在企业导入人工智能技术中的价值及实现路径。[方法/过程]运用网络调查和案例分析法梳理企业应用AI技术的领域、AI支持大数据分析的业务内容,从战略地图角度分析数据重用在此过程中发挥作用的路径并运用实际案例进行说明。[结果/结论]企业可从数据集成角度理解数据重用发挥的价值:降低数据处理成本;提高决策支持准确度;细分或关联众多大数据场景;从知识管理方面促进企业创新。
[Purpose/significance]The paper studies the value and implementation path of data reuse in introducing AI technology into enterprises.[Method/process]This paper uses network survey and case study methods to systematically sort out the fields of AI technology applied in enterprises and business contents including big data analysis based on AI.The functions of data reuse in above process are analyzed through several cases from strategy map perspective.[Result/conclusion]The enterprises can understand the value of data reuse from data integration perspective as follows:reducing the cost of data processing;improving the accuracy of decision support;segmenting or associating many big data scenarios;promoting enterprises’innovation from aspect of knowledge management.
作者
张潇月
顾立平
陈新兰
Zhang Xiaoyue;Gu Liping;Chen Xinlan(National Science Library Chinese Academy of Sciences,Beijing 100190;School of Economics and Management University of Chinese Academy of Sciences,Beijing 100190)
出处
《情报探索》
2020年第7期54-62,共9页
Information Research
关键词
人工智能
大数据分析
数据重用
业务流程
应用场景
数据资产管理
战略地图
artificial intelligence
big data analysis
data reuse
business process
application scenario
data asset management
strategy map
