Artificial Intelligence in Engineering Management - An Editor's Perspective (2023)

被引：0

作者：

Brem A. ^{[1
]}

机构：

[1] University of Stuttgart, Institute of Entrepreneurship and Innovation Science (ENI), Stuttgart

来源：

IEEE Engineering Management Review | 2023年 / 51卷 / 02期

关键词：

AI; artificial intelligence; engineering management;

D O I：

10.1109/EMR.2023.3284708

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Today, we live in a world determined by multiple crises creating less certainty about the future and its prediction. At the same time, new Artificial Intelligence (AI) technologies are developed at high pace that may lead to a new revolution in how we do business and manage companies. Generative AI tools offer exciting opportunities while at the same time putting to question some well-established solutions. This calls for more and extensive insights in research and practice to tackle the question how these technologies can be used for engineering management. © 1973-2011 IEEE.

引用

页码：6 / 8

页数：2

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