Analysis of cutting-edge technologies for enterprise information system and management

被引：3

作者：

Gupta, Brij Bhooshan ^{[1
,2
,3
,4
,5
,9
]}

Gaurav, Akshat ^{[6
]}

Panigrahi, Prabin Kumar ^{[7
]}

Arya, Varsha ^{[8
]}

机构：

[1] Asia Univ, Int Ctr AI & Cyber Secur Res & Innovat, Taichung 413, Taiwan

[2] Asia Univ, Dept Comp Sci & Informat Engn, Taichung 413, Taiwan

[3] Symbiosis Int Univ, Symbiosis Ctr Informat Technol SCIT, Pune, India

[4] Lebanese Amer Univ, Beirut 1102, Lebanon

[5] Univ Petr & Energy Studies UPES, Ctr Interdisciplinary Res, Dehra Dun, Uttarakhand, India

[6] Ronin Inst Independent Scholarship, Dept Comp Sci & Management, Montclair, NJ USA

[7] Indian Inst Management Indore, Indore, India

[8] Asia Univ, Dept Business Adm, Taichung, Taiwan

[9] Asia Univ, Dept Comp Sci, Taichung, Taiwan

来源：

ENTERPRISE INFORMATION SYSTEMS | 2023年 / 17卷 / 11期

关键词：

Enterprise information system; artificial intelligence; machine learning; deep learning; ANALYTICS; PROTOCOLS;

D O I：

10.1080/17517575.2023.2197406

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the digital age, businesses collect vast amounts of data, but often lack the knowledge and tools to fully utilize it. This paper analyzes current information management practices across different domains and highlights the need for global standards and cutting-edge technologies such as AI, ML, DL, and cloud/edge computing. By examining trends in published research, the study proposes new research lines and provides a comprehensive overview of the field's development, definitions, and trends. The research contributes significantly to the subject of information management and offers a synthesized description of the field's state.

引用

页数：20

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