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AI and IIoT Enabling Smart Connectivity and Automation in Healthcare
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Author(s): Dankan Gowda V. (BMS Institute of Technology and Management, India), Arudra Annepu (Department of Computer Science and Engineering, Rajiv Gandhi Institute of Technology, Bangalore, India), Sheetal Vijay Kulkarni (Department of Instrumentation Engineering, AISSMS Institute of Information Technology, Pune, India), Shanmukha Sreenivas Madras (Independent Researcher, USA)and B. Kameswara Rao (Department of Computer Science and Engineering, Gandhi Institute of Technology and Management, GITAM University, Visakhapatnam, India)
Copyright: 2026
Pages: 30
Source title:
Cybersecurity and Privacy in the Era of Smart Technologies
Source Author(s)/Editor(s): Mohammed Amin (University of Jordan, Jordan)
DOI: 10.4018/979-8-3373-2282-7.ch001
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Abstract
IIoT is revolutionizing industries through connectivity of things, devices, and even the machines in an industrial setting. AI, when integrated with IIoT, enhances the existing automation to sophisticated levels, real-time analysis, and allows the speculation methodologies to be implemented. This chapter emphasis on IIoT, in particular discussing how machine learning and edge computing and data analytics contribute to IIoT. In this context, the chapter presents selected cases of AI application in IIoT, including predictive and prescriptive maintenance, optimization of production processes, and intelligent manufacturing. The report systematically outlines how artificial intelligence can enhance the automation of various production processes, industrial operations, and decision making. In addition, other issues like security of data, the system's ability to grow with an organization, and integration of the system into an organization environment are discussed.
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