AI for IoT Application: An Systematic Review

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Author(s): Ganesh Shivaji Pise (Pune Institute of Computer Technology, India)and Sachin D. Babar (Sinhgad Institute of Technology, Lonavala, India)
Copyright: 2023
Pages: 12
Source title: Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence
Source Author(s)/Editor(s): Kamal Kant Hiran (Sir Padampat Singhania University, India & Lincoln University College, Malaysia), K. Hemachandran (Woxsen University, India), Anil Pise (University of the Witwatersrand, South Africa)and B. Justus Rabi (Christian College of Engineering and Technology, India)
DOI: 10.4018/978-1-6684-6519-6.ch008

Keywords: Artificial Intelligence / Business & Management / Business Intelligence / Engineering Science Reference

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Abstract

The popularity of the Internet of Things (IoT) has increased due to the development of faster internet networks and more advanced digital devices (Smarter Hardware), such as sensors integrated into a microcontroller. Currently, sensors and other digital devices used in diverse geographical sectors, such as agriculture, hospitals, smart homes, and smart cities, generate and share vast quantities of data. These IoT data must be collected and mined using AI for knowledge management (AI). Collaboration between AI and IoT results in intelligence system automation. This continuum will influence all emerging industries, including healthcare, transportation, manufacturing, and retail. IoT devices generate vast quantities of data, and AI will aid in more intelligent data planning for various IoT applications. In the software engineering and technical research processes, AI techniques are utilized for automatic problem solving and problem identification.

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AI for IoT Application: An Systematic Review

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