Integrating artificial intelligence algorithms and techniques into IoT systems to enhance data analysis, decision-making, and automation processes.
Published in Chapter:
Theories and Models in AIoT: Exploring Economic, Behavioral, Technological, Psychological, and Organizational Perspectives
Copyright: © 2024
|Pages: 26
DOI: 10.4018/979-8-3693-0993-3.ch010
Abstract
AIoT, or artificial intelligence of things, is a transformative combination of artificial intelligence and the internet of things (IoT) that has far-reaching ramifications across multiple domains. This chapter examines the theories and models underlying its development and implementation. Businesses can assess the costs, benefits, and competitive advantages of AIoT by using economic models and market dynamics. Understanding human behaviour and trust is crucial for user acceptance, while ethical considerations underpin the development of accountable AIoT applications. Data management, security, and interoperability are technical facets that architectural frameworks address. The alignment of AIoT with human needs is enhanced by cognitive models and user experience, thereby fostering well-being. Change management and organizational learning are essential for effective implementation, which fosters innovation. AIoT promotes innovation and efficiency in manufacturing, healthcare, and smart cities.