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AI-Enabled Data Processing for Real-World Applications of IoT: A Review-Based Approach
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Author(s): Suresh Santhanagopalan (St. Joseph's College (Autonomous), India), Murali Ramachandran (St. Joseph's College (Autonomous), India)and A. Pappu Rajan (St. Joseph's College (Autonomous), India)
Copyright: 2024
Pages: 15
Source title:
Semantic Web Technologies and Applications in Artificial Intelligence of Things
Source Author(s)/Editor(s): Fernando Ortiz-Rodriguez (Tamaulipas Autonomous University, Mexico), Amed Leyva-Mederos (Universidad Central "Marta Abreu" de Las Villas, Cuba), Sanju Tiwari (Tamaulipas Autonomous University, Mexico), Ania R. Hernandez-Quintana (Universidad de La Habana, Cuba)and Jose L. Martinez-Rodriguez (Autonomous University of Tamaulipas, Mexico)
DOI: 10.4018/979-8-3693-1487-6.ch017
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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.
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