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Title	Ai-Enabled Data Processing For Real-World Applications Of Iot: A Review-Based Approach
ID_Doc	7059
Authors	Santhanagopalan S.; Ramachandran M.; Rajan A.P.
Year	2024
Published	Semantic Web Technologies and Applications in Artificial Intelligence of Things
DOI	http://dx.doi.org/10.4018/9798369314876.ch017
Abstract	This is a digitally inclined era. The government support across all the countries in the globe and its associated initiatives on this IoT are commendable. In this chapter, the authors studied the research papers related to big data, IoT, and AI. The research papers were fetched from the Scopus database using Boolean operators (AND, OR) with the keywords, "IoT", "Big Data", "H IoT", and "AI". The chapter is presented in two parts. The first part is about the synthesis of the major papers related to this study. The second part is about the leverage of AI in various sectors like healthcare, education, finance, smart cities, energy, telecommunication, and agriculture. After studying from the vast literature, it shows that that IoT, big data, and ML are indispensable in the years to come. In this chapter, the authors call for government, industries, and academicians to collaborate together for conferences, seminars, and joint projects to digitalize all the premises and bring a data driven decisions. © 2024, IGI Global. All rights reserved.
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