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    Big Data Analytics for Industry 5.0
    (wiley, 2025) Hegde, A.; Bhowmik, B.
    The steam engine's power, the assembly line's efficiency, and the computer's processing speed: these disruptive new technologies were the driving forces behind the first three industrial revolutions. The fourth industrial revolution, also known as Industry 4.0, is propelled by intelligent technologies. Industry 5.0, the fifth industrial revolution, fosters collaboration between humans and robots, thereby enhancing Industry 4.0 technologies. It is anticipated that this will generate employment that is more valuable, thereby allowing individuals to engage in more creative and design-oriented activities. It is possible for factories to remain competitive and adjust to the changing requirements of their customers by implementing this change. With the implementation of suitable investments, Industry 5.0 has the potential to foster economic growth and establish a more sustainable, collaborative future for both humans and machines. Finance, healthcare, retail, and manufacturing are among the sectors that have already experienced this transformation. Industries 5.0 has been rendered feasible by technologies including blockchain, cloud computing, Big Data Analytics (BDA), Internet of Things (IoT), and 6G networks. The administration of substantial quantities of data is facilitated by BDA, in particular. To optimize the utilization of human resources and minimize waste and inefficiency, sophisticated big data management and analysis systems implement artificial intelligence and machine learning techniques. Furthermore, the enhanced customization, precision, and productivity of Industry 5.0, which is a component of the IoT, are ensured by the increased use of intelligent devices and sensors. This chapter outlines the current trends, design principles, and applications of Industry 5.0. This chapter outlines the fundamentals of Industry 5.0, its emergence, and the significance of BDA as a technology. Furthermore, this chapter outlines the architecture, design principles, and opportunities that are linked to Industry 5.0, including optimization of human efficiency, personalized services, enhanced automation, and higher-value employment. In this chapter, Industry 5.0 faces a variety of obstacles, such as a scarcity of qualified workers, a time-consuming process, a substantial budget requirement, and security and privacy concerns. Furthermore, this chapter provides a comprehensive analysis of the most recent developments in the field, the paradigm shift toward Industry 5.0, and a diverse array of prospective futures. This chapter outlines the primary challenges, interests, and problems of Industry 5.0 in relation to BDA. © 2025 by John Wiley & Sons Inc. All rights reserved.
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    Big Data Insights: Pioneering Changes in FinTech
    (Institute of Electrical and Electronics Engineers Inc., 2024) Anusha Hegde, H.; Bhowmik, B.
    The amount of data generated and stored by finance sector companies is rapidly increasing, allowing corporations to conduct data analytics and enhance their businesses. However, data scientists face immense challenges in efficiently handling massive amounts of data and generating insights with real business value. Big Data Analytics (BDA) tools and methods are required to handle vast data. Financial Technology's (FinTech's) growth in mobile Internet, cloud computing, big data, search engines, and blockchain technology has dramatically changed the financial industry. The appropriate application of big data in the management and business innovation of FinTech is therefore a significant concern that confronts the whole finance industry. This paper explores the significance of big data methods in the financial sector and offers insights into the difficulties in applying them as well as future potential for technological advancement. Along with its classifications, the paper examines how FinTech evolved from traditional to modern banking. Corporate banking encompasses several aspects, such as financial markets, corporate credit, and trade, involving substantial transactions and monetary resources. Consequently, this sector has a favorable opportunity to use emerging information technology (IT) advancements. Lastly, the study examines how BDA contributes to FinTech difficulties and projects how FinTech will develop in the future within the context of BDA. © 2024 IEEE.