Evolution of Enterprise Architecture for Intelligent Digital Systems
Evolution of Enterprise Architecture for Intelligent Digital Systems
复制标题
智能数字系统企业架构的演变
DOI：
10.1007/978-3-030-50316-1_9
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Michael Möhring
中科院分区：
文献类型：
--
作者：
A. Zimmermann;Rainer Schmidt;Dierk Jugel;Michael Möhring
智能系统和服务是当前许多数字化工作的战略目标，也是基于人工智能数字技术的大规模数字化转型的一部分。数字平台架构和生态系统为智能数字系统提供了重要基础。本文提出了一个重要的问题：当前人工智能和企业架构数字化领域的创新会引发哪些发展路径？数字化颠覆了现有的企业、技术和经济，并促进了认知和开放智能环境的架构。这对创造价值和开发智能数字系统和服务的新机会产生了重大影响。人工智能、物联网、服务计算、云计算、区块链、大数据与分析、移动的系统、社交商业网络系统等数字技术是数字化的本质驱动力。我们研究了由合适的数字企业架构支持的智能数字系统的开发。我们提出了方法上的进步和架构的进化路径，并从整体服务和价值的角度来实现智能系统和服务，有效地将联合收割机数字战略和数字架构与人工智能相结合。
Intelligent systems and services are the strategic targets of many current digitalization efforts and part of massive digital transformations based on digital technologies with artificial intelligence. Digital platform architectures and ecosystems provide an essential base for intelligent digital systems. The paper raises an important question: Which development paths are induced by current innovations in the field of artificial intelligence and digitalization for enterprise architectures? Digitalization disrupts existing enterprises, technologies, and economies and promotes the architecture of cognitive and open intelligent environments. This has a strong impact on new opportunities for value creation and the development of intelligent digital systems and services. Digital technologies such as artificial intelligence, the Internet of Things, service computing, cloud computing, blockchains, big data with analysis, mobile systems, and social business network systems are essential drivers of digitalization. We investigate the development of intelligent digital systems supported by a suitable digital enterprise architecture. We present methodological advances and an evolutionary path for architectures with an integral service and value perspective to enable intelligent systems and services that effectively combine digital strategies and digital architectures with artificial intelligence.
重建进化：服务科学的视角
DOI：
--
发表时间：
2017
期刊：
影响因子：
--
作者：
Jim Spohler;SIDDIKE;Md.Abul Kalam;Youji Kohda
通讯作者：
Youji Kohda