Artificial Intelligence-based systems, Cloud computing, Web interfaces, IoT/Connected devices, Smart automation, Real-time monitoring

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Authors

Keywords:

Artificial Intelligence , Machine Learning , Sustainability , Big Data , Blockchain , Renewable Energy , Climate Change

Synopsis

In an age defined by digital transformation, the convergence of Artificial Intelligence (AI), Cloud Computing, Web Interfaces, the Internet of Things (IoT), Smart Automation, and Real-Time Monitoring is reshaping industries, societies, and daily life. This book explores these interconnected technologies, each a powerful force on its own, yet together forming the foundation of the intelligent systems that drive the modern world.

AI-based systems have moved beyond theoretical models to become practical tools that enhance human capability and decision-making. Cloud computing, with its scalable infrastructure and service-driven architecture, enables accessibility and innovation without boundaries. Web interfaces bridge the gap between complex systems and human interaction, allowing data and insights to be understood and utilized effectively. IoT and connected devices bring intelligence to the physical world, turning ordinary objects into data-driven entities that respond dynamically to their environment. Smart automation integrates AI and robotics to increase efficiency, reduce errors, and transform operational processes. Real-time monitoring complements these advances by providing continuous feedback and situational awareness, ensuring systems remain adaptive and secure.

This book aims to provide a comprehensive understanding of how these technologies intertwine to form the backbone of the digital ecosystem. It delves into their principles, real-world applications, challenges, and emerging research directions, emphasizing both innovation and ethical responsibility. Scholars, engineers, and policymakers alike will find this work a valuable reference in navigating the evolving landscape of intelligent and connected systems that define the 21st century.

Chapters

References

Challa, K., Sriram, H. K., & Gadi, A. L. (2025). Leveraging AI, ML, and Gen AI in Automotive and Financial Services: Data-driven Approaches to Insurance, Payments, Identity Protection, and Sustainable Innovation.

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Kishore Challa. (2025). AI and Cloud-Driven Transformation in Finance, Insurance, and the Automotive Ecosystem: A Multi-Sectoral Framework for Credit Risk, Mobility Services, and Consumer Protection. Journal of Information Systems Engineering and Management, 10(36s), 1084–1102. https://doi.org/10.52783/jisem.v10i36s.6706

Koppolu, H. K. R., Munnangi, A. S. M., Nayeem, S. M., Ravulapalli, L. T., & Mukkamalla, B. R. (2025). AI-Aided Prioritisation with Physics-Based Validation: MD/MM-PBSA of Antiviral Binding in SARS-CoV-2 and Monkeypox. Journal of Marketing & Social Research, 2, 223-235.

Downloads

Published

7 October 2025

Details about the available publication format: E-Book

E-Book

ISBN-13 (15)

978-93-7185-625-6

Details about the available publication format: Book (Paperback)

Book (Paperback)

ISBN-13 (15)

978-93-7185-758-1

How to Cite

Garapati, R. S. . (2025). Artificial Intelligence-based systems, Cloud computing, Web interfaces, IoT/Connected devices, Smart automation, Real-time monitoring. Deep Science Publishing. https://doi.org/10.70593/978-93-7185-625-6