数据智能:趋势与挑战  

Data intelligence:Trends and challenges

作　　者：吴俊杰[1,3,4] 刘冠男 王静远 左源[1] 部慧 林浩[1] WU Junjie;LIU Guannan;WANG Jingyuan;ZUO Yuan;BU Hui;LIN Hao(School of Economics and Management,Beihang University,Beijing 100191,China;Beijing Advanced Innovation Center for Big Data and Brain Computing,Beihang University,Beijing 100191,China;Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations,Beijing 100191,China;School of Computer Science,Beihang University,Beijing 100191,China)

机构地区：[1]北京航空航天大学经济管理学院,北京100191 [2]北京航空航天大学计算机学院,北京100191 [3]北京航空航天大学大数据科学与脑机智能高精尖创新中心,北京100191 [4]城市运行应急保障模拟技术北京市重点实验室,北京100191

出　　处：《系统工程理论与实践》2020年第8期2116-2149,共34页Systems Engineering-Theory & Practice

基　　金：国家重点研发计划重点专项(2019YFB2101804);国家自然科学基金(71531001,71725002,71701007,61572059,71901012,91846108);国家博士后基金(2018M640045)。

摘　　要：随着大数据和人工智能的兴起,数据智能(data intelligence)逐渐成为学术界和产业界共同关注的焦点.数据智能具有显著的大数据驱动和应用场景牵引两大特征.其融合场景内外的多源异质大数据,利用大规模数据挖掘、机器学习和深度学习等预测性分析方法和技术,提取数据中蕴含的有价值的模式,并用于提升复杂实践活动中的管理与决策水平.本文指出了推动数据智能实现迭代发展的三维要素:数据、算法和场景,然后围绕这三大要素介绍了数据智能的前沿热点、发展趋势和存在挑战,特别对数据智能与管理学交叉的研究与应用问题进行了较为深入的探索.论文还尝试给出一些具有前瞻性的观点或评论,一来希望为有兴趣进入数据智能领域的读者提供指引,二来希望能够在管理同行中起到抛砖引玉之效.With the unprecedented development of big data and artificial intelligence,data intelligence has emerged as a focal point in both academia and industry.It features in a set of predictive data analytics methods gathered in a big-data driven and applications oriented manner,including data mining,machine learning,deep learning,etc.It aims to extract valuable patterns from big data generated inside and outside targeted application scenarios so as to enhance real-life management and decision-making levels.This paper thus focuses on introducing the recent advances in data intelligence,which is formulated as a cyclic system including three naturally integrated and mutually functional dimensions:Data,algorithms,and scenarios.We discuss the hot topics,growing trends,as well as research challenges in data intelligence,with our own comments and opinions aiming to provide guidance for entering the area of data intelligence and arouse peer discussions on this exciting field.

关 键 词：数据智能 管理与决策 大数据 人工智能 物联网 

分 类 号：C931[经济管理—管理学] TP18[自动化与计算机技术—控制理论与控制工程]