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Editorial: Special Section on Services Computing Management for Artificial Intelligence and Machine Learning
IEEE Transactions on Engineering Management ( IF 5.8 ) Pub Date : 2020-11-24 , DOI: 10.1109/tem.2020.3024363
Patrick C. K. Hung , Haluk Demirkan , Shih-Chia Huang

The seven papers in this special section focus on services computing management for artificial intelligence and machine learning. The goal of services computing is to enable IT services and computing technology to perform business services more efficiently and effectively. The pervasive nature of services computing management is exhibited in almost all industry settings. In everyday life, new business service innovations will give rise to an emergent data- and information-focused economy that will only pick up steam as both consumer and business utilization of Internet of Things are advanced. These AI services can be formed from high-level computational intelligence that leverages emerging analytical techniques associated with big data, web analytics, data and text mining, ontology engineering, semantic web, and many other advances. At the same time, it becomes increasingly important to anticipate technical and practical challenges and to identify best practices learned through experience.

中文翻译:

社论:人工智能和机器学习的服务计算管理特别部分

本节中的七篇论文重点介绍了人工智能和机器学习的服务计算管理。服务计算的目标是使IT服务和计算技术能够更有效地执行业务服务。服务计算管理的普遍性在几乎所有行业环境中都有体现。在日常生活中,新的商业服务创新将催生新兴的以数据和信息为中心的经济,随着物联网的消费者和企业利用率的提高,这种经济只会加速发展。这些AI服务可以由高级计算智能组成,这些智能利用与大数据,Web分析,数据和文本挖掘,本体工程,语义Web和许多其他先进技术相关的新兴分析技术。
更新日期:2020-11-27
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