Artificial-Intelligence-Driven Management

被引：21

作者：

Schrettenbrunnner M.B.

机构：

来源：

IEEE Engineering Management Review | 2020年 / 48卷 / 02期

关键词：

agile; AI-driven management; Artificial intelligence (AI); automatization pyramid; business process maturity models; competitive; deming; differentiable programming; disruptive; domain; Enterprise Resource Planning (ERP); forecast; industry; investors; ISO; 9001; leadership; Manufacturing Execution System (MES); maturity level; open unified architecture; paradigm; Plan-Do-Check-Act (PDCA); processes; Programmable Logic Controller (PLC); reengineering; restructuring; scada; service-oriented architecture (SOA); technology; time sensitive network;

D O I：

10.1109/EMR.2020.2990933

中图分类号：

学科分类号：

摘要：

Germany is experiencing a long overdue paradigm shift in technology and management. Here, artificial intelligence (AI) is not just an application but a basic technology encompassing a company's many functions and activities. Business models, stakeholders, processes, and management are all influenced. The competitiveness of companies also depends on the extent to which interdependent industries mutually accelerate the implementation of AI. In this article, we introduce 'AI-driven management.' Immediate and disruptive use of AI in management can help organizations gain competitive advantage. AI-driven management can substitute for domain-fixed - functional - expertise. © 1973-2011 IEEE.

引用

页码：15 / 19

页数：4

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