TRANSFORMING INDUSTRIES WITH AI: EXPLORING THE UPSIDES AND DOWNSIDES OF EMERGING TECHNOLOGY

Bechoo Lal · Mr. Ajay Jaiswal · Mohit Tiwari · Dr. Haewon Byeon

Aug 2023 · Xoffencerpublication

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195

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In the current day and age of technology, buzzwords such as artificial intelligence (AI), the internet of things (IoT), and cloud computing are often used. AI is the technology that tries to make computers or other machines equal to the human brain, making them capable of learning and problem-solving in the same way that humans do. Applications based on AI may be readily connected with other developing technologies such as the Internet of Things (IoT), the cloud, Big Data, and Blockchain. The Internet of Things refers to a network of interconnected, internet-enabled items or things that are able to gather and share data with one another. In recognition of the idea of the Internet of items, a significant number of tangible items are now being connected with the internet at an exceptionally rapid pace. By the year 2025, there will be more than 30 billion Internet of Things connections, with approximately four Internet of Things devices per person on average, according to reports and current trends. Cloud computing provides a means through which the huge amounts of data created by these Internet of Things applications may be sent to their respective endpoints. The use of cloud computing is widely acknowledged to be a facility for the processing and storage of data. Just-in-time processing and lightning fast response times are necessities for any and all real-time applications that make use of the Internet of Things. Researchers, academics, and industrialists in the fields of health care, agriculture, telecommunications, online and mobile commerce, and transportation have shown a significant amount of interest in AI and IoT-based data. In today's world, AI-based methodologies increase the role that IoT plays in business monitoring, health-care monitoring, illness prediction, bioinformatics, research and development, stock market prediction, social network analysis, weather analysis, agriculture, transportation, and resource optimization. The implementation of these applications needs a certain amount of processing capability as well as data storage, both of which are often given by cloud-based services. The data that has been saved is processed in a high-precision and just-in-time way with the help of AI algorithms. The cloud is a strong instrument that can send data not only via the standard channels of the internet but also through a dedicated direct connection. The Internet of Things becomes the source of creating enormous amounts of data, and the cloud becomes an essential component for data storage. As a result, the Internet of Things and clouds have become deeply intertwined in order to provide commercial business services. 1 | P a ge This configuration is sometimes referred to as cloud-based IoT. As a result of their success in providing cloud-based Internet of Things (IoT) services, companies like Amazon Web Services (AWS), Google, and Microsoft have become industry leaders. This makes the task much more rewarding. In addition, the cloud-based Internet of items is utilized to link a broad variety of intelligent items for usage in different applications. Artificial intelligence (AI), the internet of things (IoT), and cloud computing all play significant roles in a variety of domains in the present and will continue to do so in the future. The goal of AI is to analyze and collect the data produced through cloud-based Internet of Things devices by gathering data from a variety of businesses. Integrating AI, IoT, and the cloud has resulted in a transformation of both the entire storage capacity and the digital world, and as a result, it has become a subject of intense interest among academics and academicians. The purpose of this chapter is to place an emphasis on the function that AI plays in data storage that is based on the cloud and IoT. The remaining parts of the chapter are broken down into the following sections: storing of data on the cloud is the primary emphasis. examines the function that IoT plays in cloud environments. In addition, the part that AI plays in the Internet of Things (IoT) and cloud data storage is discussed in. Section 6 brings the chapter to a close by discussing the applications of AI, IoT, and clouds in a variety of industries.

About the author

Bechoo Lal, PhD, became a Member (M) of IAENG: International Association of Engineers, USA with membership (108820) in 2010, a Senior Member (SM) in 2019. I am doctorate PhD in Computer Science, PhD- Information System from University of Mumbai, Master from Banaras Hindu University (BHU), PGP- Data Science from Purdue University, USA. Currently I am working as a Associate Professor in Department of Computer Science & Engineering, KLEF- KL University Vijayawada Campus Andhra Pradesh, India. My research areas are data science, big data analytics and Machine Learning.

Mr. Ajay Jaiswal, is an expert in Computer Engineering. He completed 17 years in Academics. He taught many subjects of Engineering e.g. Software Engineering, Compiler Design, Theory of Computation, Java Programming, Basic Computer Engineering, Principles of Programming Languages, Information Technology, Artificial Intelligence etc. He worked with many Computer Programming Languages and Open Source Technologies.

Mohit Tiwari, B.Tech. (Computer Science) & MBA (Operations & Research) having over 20 years’ experience in a wide gamut of functional areas including Software Development / Software Engineering, Networking, Systems / Database Administration and IT Infrastructure Management, Teaching, Open source technologies. Currently associated with Bharati Vidyapeeth’s College of Engineering as Assistant Professor in Computer Science and Engineering Department. A keen researcher with sound exposure to emerging trends and happenings in the IT industry.

Dr. Haewon Byeon, received the DrSc degree in Biomedical Science from Ajou University School of Medicine. Haewon Byeon currently works at the Department of Medical Big Data, Inje University. His recent interests focus on health promotion, AI medicine, and biostatistics. He is currently a member of international committee for a Frontiers in Psychiatry, and an editorial board for World Journal of Psychiatry. Also, He were worked on a 4 projects (Principal Investigator) from the Ministry of Education, the Korea Research Foundation, and the Ministry of Health and Welfare. Byeon has published more than 343 articles and 19 books.

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