Abstract
The prevailing era of the Internet of Things (IoT) has renewed all fields of life in general, but, especially with the advent of artificial intelligence (AI), has drawn the attention of researchers into a new paradigm of life standards. This revolution has been accepted around the world for making life comfortable with the use of intelligent devices. AI-enabled machines are more intelligent and capable of completing a specific task which saves a lot of time and resources. Currently, diverse methods are available in the existing literature to handle different issues of real life based on AI and IoT systems. The role of decision-making has its prominence in the AI-enabled and IoT systems. In this article, an AI- and IoT-based intelligent assistant decision-making method is presented for power enterprise customer service. An intelligent model of the customer service data network is designed, and the method of collecting data from IoT to assist decision-making is presented. Then, the semantic relationship of customer service data is defined, and the sharing scope of data transmission and resources are determined to realize intelligent assistant decision-making of customer service in power enterprises. Simulation results show that the proposed method improves the decision data transmission speed and shortens the transmission delay, and the network performance of data interaction is better than that of the existing methods.
Highlights
artificial intelligence (AI)-enabled devices are more intelligent and capable of completing a specific task which saves a lot of time and resources. e use of IoT and network provides the principal way out due to less cost and adaptable features [1]. e main function of IoT is to provide links to the available resources with effectiveness and reliability
IoT is composed of three main components: digitization of resources, collection of data about the resources, and computational algorithms to control the system formed by the interconnected resources [2]. e IoT has several massive applications in real life which make life easier and comfortable
Techniques, tools, and approaches are available to handle different problems of real life based on AI and IoT systems
Summary
AI-enabled devices are more intelligent and capable of completing a specific task which saves a lot of time and resources. e use of IoT and network provides the principal way out due to less cost and adaptable features [1]. e main function of IoT is to provide links to the available resources with effectiveness and reliability. Chatfield and Reddick [7] designed a framework of smart government performance decision-making systems based on IoT-enabled techniques. E innovation of their model lies in the establishment of a prediction model based on fuzzy rules and the design of intelligent decision strategies based on priority to improve the abnormal operation mode An AI- and IoT-based intelligent assistant decision-making system is proposed for power enterprise customer service centres. We designed an intelligent model of the customer service data network and devised the method of collecting data from IoT to assist the decision-making process.
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