AI-Enhanced Real-Time Economic Data Analysis Using IoE

AI-Enhanced Real-Time Economic Data Analysis Using IoE

M. Sunil Kumar (Mohan Babu University, India), M. V. N. Nagalakshmi (SRM Institute of Science and Technology, India), Chandrika Reddy P. (St. Francis College, India), Y. V. N. Sai Sri Charan (Verizon Data Services Limited, India), Abhinav Kataria (Christ University, India), and A. Shaji George (EIT Department, Almarai Company, ITSM, Riyadh, Saudi Arabia)
DOI: 10.4018/979-8-3693-7367-5.ch003
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Abstract

The management of current economic data has been entirely revolutionised by the integration of artificial intelligence (AI) and the Internet of Everything (IoE). This research is dedicated to the improvement of the collection, processing, and interpretation of economic data through the application of AI algorithms and IoE technology. This method swiftly and reliably reveals economic trends, consumer behaviour, and market dynamics by combining the advanced analytical capabilities of artificial intelligence with the interconnected sensors, devices, and systems of the Internet of Things. The integration of AI and the Internet of Everything (IoE) facilitates immediate analysis, which can be employed by governments, corporations, and researchers to improve decision-making processes, thereby contributing to the economy's growth. This paper investigates the potential, constraints, and future ramifications of the paradigm transition towards AI-enhanced Internet of Everything (IoE) technologies. It illustrates the potential for these systems to transform the processing of economic data.
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