基于人工智能应用的情报分析工作转型研究  

Research on transformation of intelligence analysis based on artificial intelligence application

作　　者：姜海格 郭利民 JIANG Haige;GUO Limin(System Engineering Research Institute,China State Shipbuilding Co.,Ltd.,Beijing 100036,China)

机构地区：[1]中国船舶集团有限公司系统工程研究院,北京100036

出　　处：《计算机应用文摘》2023年第21期115-118,共4页Chinese Journal of Computer Application

摘　　要：人工智能的快速发展为情报分析带来了全新的机遇,有助于情报分析人员实现工作模式的转型。文章指出了传统情报分析中存在的处理速度慢、分析结果不稳定等问题以及数据分析在广度和深度方面的局限,讨论了人工智能为情报分析带来的全新机遇,并阐述了其在情报分析工作中的优势,包含快速处理、分析和可视化大量数据。研究发现,人工智能可快速获得准确信息,从而为情报分析人员提供更为精准的预测和趋势分析,进而帮助情报分析人员更好地理解和预测未来的发展趋势。此外,文章结合当前情报科研机构的现状对情报的来源和分析流程进行了梳理,并提供了一个情报分析机构内部信息流程的架构设计方案。The rapid development of artificial intelligence has brought new opportunities for intelligence analysis,helping intelligence analysts transform their work models.This article points out the problems of slow processing speed and unstable analysis results in traditional intelligence analysis,as well as the limitations of data analysis in terms of breadth and depth.It discusses the new opportunities brought by artificial intelligence for intelligence analysis and elaborates on its advantages in intelligence analysis work,including rapid processing,analysis,and visualization of large amounts of data.Research has found that artificial intelligence can quickly obtain accurate information,providing intelligence analysts with more accurate predictions and trend analysis,thereby helping them better understand and predict future development trends.In addition,the article summarizes the sources and analysis processes of intelligence based on the current situation of intelligence research institutions,and provides an architectural design scheme for the internal information process of intelligence analysis institutions.

关 键 词：人工智能 情报分析 情报来源 信息流程 

分 类 号：G35[文化科学—情报学]