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Subrat SaurabhAuthor of Kuch Woh Pal
Modern Full-Stack Web Architecture with Node.js and ReactJS is an extensive reference of how to design, develop and deploy scalable, maintainable and high-performance web applications. The book starts with the background of full-stack architecture including Node.js, ReactJS, REST, and GraphQL APIs. It then explores the principles of scalable systems design, software architecture, and configuration and API versioning best practices. Readers get to know how to c
Modern Full-Stack Web Architecture with Node.js and ReactJS is an extensive reference of how to design, develop and deploy scalable, maintainable and high-performance web applications. The book starts with the background of full-stack architecture including Node.js, ReactJS, REST, and GraphQL APIs. It then explores the principles of scalable systems design, software architecture, and configuration and API versioning best practices. Readers get to know how to create strong backends in Express.js, how to use authentication and testing, how to create efficient frontends with modern functionality of React, such as hooks and state management and code splitting. The last chapters are devoted to practical implementation using Docker, AWS, and Vercel, combining the CI/CD pipelines, and ensuring observability using logging, monitoring, and alerting systems. Augmented with theory, hands-on practice, and industry best practices, the book makes developers and architects to construct full-stack systems, which are future-proof, resilient, and production-ready.
Next Tech Chronicles: Quantum, Cyber, VFX & VR for a Digital Tomorrow explores the forefront of technological innovation shaping our digital future. The book begins with quantum computing, explaining its principles, algorithms, and transformative potential beyond classical systems. It then delves into cybersecurity, addressing evolving threats, AI-driven defense, and ethical data governance. The third chapter unveils the artistry and science of visual effects
Next Tech Chronicles: Quantum, Cyber, VFX & VR for a Digital Tomorrow explores the forefront of technological innovation shaping our digital future. The book begins with quantum computing, explaining its principles, algorithms, and transformative potential beyond classical systems. It then delves into cybersecurity, addressing evolving threats, AI-driven defense, and ethical data governance. The third chapter unveils the artistry and science of visual effects (VFX), highlighting its creative evolution and applications beyond entertainment. Virtual and augmented reality follow, showcasing immersive design, applications across industries, and the vision of the metaverse. The final chapter, Convergence, connects these technologies—quantum, AI, cyber, VFX, and XR—revealing their synergies, emerging trends, and the human skills required for the future. Blending technical insight with ethical and social perspectives, this book serves as a guide to understanding and shaping the rapidly transforming digital world.
This book provides a comprehensive exploration of artificial intelligence in financial technology, bridging foundational concepts, core architectures, and advanced applications. Part I introduces the evolution of fintech, AI’s role in reshaping services, and the regulatory landscape, highlighting compliance, explainability, and global frameworks. Part II delves into enabling technologies, including AI-driven payment infrastructures, microservices, event-
This book provides a comprehensive exploration of artificial intelligence in financial technology, bridging foundational concepts, core architectures, and advanced applications. Part I introduces the evolution of fintech, AI’s role in reshaping services, and the regulatory landscape, highlighting compliance, explainability, and global frameworks. Part II delves into enabling technologies, including AI-driven payment infrastructures, microservices, event-driven systems, and secure data engineering tailored to finance. Part III advances into applications such as liquidity optimization with multi-agent systems, AI-enhanced cross-border payments, and next-generation credit scoring that addresses fairness and bias. Part IV presents case studies from banks, fintech startups, and insurers, followed by frameworks for building scalable, secure, and ethical AI systems. Concluding with future directions, the book examines autonomous finance, generative AI, CBDCs, and decentralized models, offering a roadmap for research and innovation.
Next Tech Chronicles: Quantum, Cyber, VFX & VR for a Digital Tomorrow explores the forefront of technological innovation shaping our digital future. The book begins with quantum computing, explaining its principles, algorithms, and transformative potential beyond classical systems. It then delves into cybersecurity, addressing evolving threats, AI-driven defense, and ethical data governance. The third chapter unveils the artistry and science of visual effects
Next Tech Chronicles: Quantum, Cyber, VFX & VR for a Digital Tomorrow explores the forefront of technological innovation shaping our digital future. The book begins with quantum computing, explaining its principles, algorithms, and transformative potential beyond classical systems. It then delves into cybersecurity, addressing evolving threats, AI-driven defense, and ethical data governance. The third chapter unveils the artistry and science of visual effects (VFX), highlighting its creative evolution and applications beyond entertainment. Virtual and augmented reality follow, showcasing immersive design, applications across industries, and the vision of the metaverse. The final chapter, Convergence, connects these technologies—quantum, AI, cyber, VFX, and XR—revealing their synergies, emerging trends, and the human skills required for the future. Blending technical insight with ethical and social perspectives, this book serves as a guide to understanding and shaping the rapidly transforming digital world.
Modern Full-Stack Web Architecture with Node.js and ReactJS is an extensive reference of how to design, develop and deploy scalable, maintainable and high-performance web applications. The book starts with the background of full-stack architecture including Node.js, ReactJS, REST, and GraphQL APIs. It then explores the principles of scalable systems design, software architecture, and configuration and API versioning best practices. Readers get to know how to c
Modern Full-Stack Web Architecture with Node.js and ReactJS is an extensive reference of how to design, develop and deploy scalable, maintainable and high-performance web applications. The book starts with the background of full-stack architecture including Node.js, ReactJS, REST, and GraphQL APIs. It then explores the principles of scalable systems design, software architecture, and configuration and API versioning best practices. Readers get to know how to create strong backends in Express.js, how to use authentication and testing, how to create efficient frontends with modern functionality of React, such as hooks and state management and code splitting. The last chapters are devoted to practical implementation using Docker, AWS, and Vercel, combining the CI/CD pipelines, and ensuring observability using logging, monitoring, and alerting systems. Augmented with theory, hands-on practice, and industry best practices, the book makes developers and architects to construct full-stack systems, which are future-proof, resilient, and production-ready.
This book provides a comprehensive exploration of artificial intelligence in financial technology, bridging foundational concepts, core architectures, and advanced applications. Part I introduces the evolution of fintech, AI’s role in reshaping services, and the regulatory landscape, highlighting compliance, explainability, and global frameworks. Part II delves into enabling technologies, including AI-driven payment infrastructures, microservices, event-
This book provides a comprehensive exploration of artificial intelligence in financial technology, bridging foundational concepts, core architectures, and advanced applications. Part I introduces the evolution of fintech, AI’s role in reshaping services, and the regulatory landscape, highlighting compliance, explainability, and global frameworks. Part II delves into enabling technologies, including AI-driven payment infrastructures, microservices, event-driven systems, and secure data engineering tailored to finance. Part III advances into applications such as liquidity optimization with multi-agent systems, AI-enhanced cross-border payments, and next-generation credit scoring that addresses fairness and bias. Part IV presents case studies from banks, fintech startups, and insurers, followed by frameworks for building scalable, secure, and ethical AI systems. Concluding with future directions, the book examines autonomous finance, generative AI, CBDCs, and decentralized models, offering a roadmap for research and innovation.
This book gives a thorough rundown of the ways Artificial Intelligence (AI) is changing the Oil and Gas (O&G) sector. It discusses how AI can be integrated into upstream, midstream, and downstream operations, with an emphasis on applications like as production optimization, smart drilling, seismic data processing, and predictive maintenance. The book discusses essential AI technologies such as Machine Learning, Computer Vision, Natural Language Processin
This book gives a thorough rundown of the ways Artificial Intelligence (AI) is changing the Oil and Gas (O&G) sector. It discusses how AI can be integrated into upstream, midstream, and downstream operations, with an emphasis on applications like as production optimization, smart drilling, seismic data processing, and predictive maintenance. The book discusses essential AI technologies such as Machine Learning, Computer Vision, Natural Language Processing, and Digital Twins. It also looks at how AI may improve sustainability, safety, emissions monitoring, and legal compliance. The revolutionary potential of Generative AI (GenAI) and Large Language Models in automating tasks, analysing intricate data, and facilitating real-time decision-making is highlighted in a chapter. In addition to exploring future trends, workforce change, and the strategic path ahead for AI adoption in O&G, the book portrays AI as a crucial driver of innovation, efficiency, and sustainability in the energy sector through real-world insights and forward-looking conversations.
This book AI Driven Healthcare: Innovations, Challenges and Future Prospects discusses the revolution that the artificial intelligence is making on the healthcare. It first discusses how AI impacts diagnostics, imaging, drug discovery, surgery and personalized medicine known as how intelligent systems guide clinical decision making and enhance its outcome. Next, the book explains how AI can cut down the time taken in healthcare by way of streamlining hospital
This book AI Driven Healthcare: Innovations, Challenges and Future Prospects discusses the revolution that the artificial intelligence is making on the healthcare. It first discusses how AI impacts diagnostics, imaging, drug discovery, surgery and personalized medicine known as how intelligent systems guide clinical decision making and enhance its outcome. Next, the book explains how AI can cut down the time taken in healthcare by way of streamlining hospital workflows and the use of predictive care as well as telemedicine support. The supply chain management and the automation of the medical documentation is covered in the paper. In great lengths is discussed the challenges regarding ethical, and regulatory, data privacy, algorithmic bias and the need for transparency of AI decisions. It also explores the future potentials these technologies had as AI integrated IoT and blockchain and 3D printing. Next is the forward looking perspective in the book that looks ahead to next gen AI models, healthcare equity and on how to adoptably. This is done in this book through a comprehensive and structured approach to give valuable insights on how AI is changing the way healthcare is rendered everywhere in the world.
Future Proofing Industries: AI-Driven Security, ERP and Risk Management discusses how artificial intelligence is reshaping the ability of enterprises to cope with complexities in the digital world. Cybersecurity is the main topic in the beginning, where AI is shown to help detect threats instantly, monitor with biometrics and address issues related to ethics. This section continues with ERP systems using AI, focusing on intelligent automation, improving the su
Future Proofing Industries: AI-Driven Security, ERP and Risk Management discusses how artificial intelligence is reshaping the ability of enterprises to cope with complexities in the digital world. Cybersecurity is the main topic in the beginning, where AI is shown to help detect threats instantly, monitor with biometrics and address issues related to ethics. This section continues with ERP systems using AI, focusing on intelligent automation, improving the supply chain and overcoming integration challenges. The third chapter explores predicting risks, following compliance and dealing with crises in finance, manufacturing and healthcare. In this chapter, the author highlights how AI improves financial security by detecting fraud, preventing money laundering and analyzing behavior. The final part of the book covers future-proofing by presenting AI trends, integrating blockchain and IoT, using AI for governance and considering ethical aspects. The book is prepared for professionals and decision-makers who want to learn how to apply AI to strengthen their enterprises and keep them protected in the face of evolving technology.
This book offers a wide-ranging study of generative AI agents, a trip from fundamental principles to practical implementations in the real world. Part I presents fundamental concepts, development of generative agents, machine mechanics, and major problems. Part II dives into technical aspects including RAG, agent architectures, memory systems, and fine tuning techniques, including cross-domain abilities. Part III presents real use cases from the industries in
This book offers a wide-ranging study of generative AI agents, a trip from fundamental principles to practical implementations in the real world. Part I presents fundamental concepts, development of generative agents, machine mechanics, and major problems. Part II dives into technical aspects including RAG, agent architectures, memory systems, and fine tuning techniques, including cross-domain abilities. Part III presents real use cases from the industries in conversational AI, creative tasks, productivity tools, automation, and autonomous decision-making with the practical applications. Part IV covers the topic of real-time performance, scalability, and the road to Artificial General Intelligence (AGI), as well as its ethics. Written for technical specialists and innovators, the book integrates theory, implementation strategies, and multiple-choice exams to reinforce learning, making the book an important read for learning and applying generative AI agents effectively in industries.
Here, this book offers a complete guide teaching basic knowledge, advanced strategies and future trends for energy efficiency in HVAC systems. The book starts with a few introductory chapters that discuss HVAC fundamentals; the context is greatly on the rising importance of energy efficiency, the roles of engineers and facility managers. The following chapters explore how system design, load prediction, and technologies that increase heating and cooling perfor
Here, this book offers a complete guide teaching basic knowledge, advanced strategies and future trends for energy efficiency in HVAC systems. The book starts with a few introductory chapters that discuss HVAC fundamentals; the context is greatly on the rising importance of energy efficiency, the roles of engineers and facility managers. The following chapters explore how system design, load prediction, and technologies that increase heating and cooling performance may compete with program start costs. Key enablers of optimization are highlighted to be smart controls, automation and IoT driven solution. It goes into incorporating renewable energy—such as solar and geothermal—with HVAC system, as well as using sustainable refrigerants and thermal energy storage. In addition, it provides a synopsis on conducting energy audits, implementation of predictive maintenance, retrofitting strategies, and actual applications of existing implementations. Finally, it explores emerging trends such as digital twins, AI, blockchain etc. in HVAC in the final chapter and focusing on a future perspective. This book gives professionals and students the ability to achieve high performance, sustainable HVAC solutions and provides with a tool kit and insights.
Engineering Insights: Cloud-Enabled BI for Critical Industry Transformation explores the evolution, architecture and real world applications of Cloud Business Intelligence (BI) across important industries. Cloud BI in itself is introduced, its advantages (over traditional BI) and its essential components in the book’s first part. Next, it tackles building scalable Cloud BI architectures that provide a good data quality, security, and optimization of perf
Engineering Insights: Cloud-Enabled BI for Critical Industry Transformation explores the evolution, architecture and real world applications of Cloud Business Intelligence (BI) across important industries. Cloud BI in itself is introduced, its advantages (over traditional BI) and its essential components in the book’s first part. Next, it tackles building scalable Cloud BI architectures that provide a good data quality, security, and optimization of performance.
There are also industry specific chapters which illustrate how Cloud BI enhances business decision making in healthcare, retail, manufacturing & financial services with relevant use cases including predictive analysis, risk management, IOT, fraud detection, etc. The implementation of taxis using cryptography is illustrated by real world case studies of a successful implementation and the problems resolved. This book offers professionals, researchers, and business leaders’ insights into utilizing Cloud BI to boost efficiency, innovation, and the added value through data in a data driven world.
The book covers data engineering types and their integration with scalable infrastructure and real-time analytics. It also shows how data engineering has evolved from traditional ETL processes to cloud-based distributed infrastructures and data ingestion, transformation, orchestration, and governance. It gives details of the roles and responsibilities of a data engineer, the role of big data technologies like Apache Kafka, Spark and cloud solutions, and the im
The book covers data engineering types and their integration with scalable infrastructure and real-time analytics. It also shows how data engineering has evolved from traditional ETL processes to cloud-based distributed infrastructures and data ingestion, transformation, orchestration, and governance. It gives details of the roles and responsibilities of a data engineer, the role of big data technologies like Apache Kafka, Spark and cloud solutions, and the importance of data quality, security, and compliance. Moreover, it also considered design scalability in the data platform paradigms, comparing SQL and NoSQL databases and the dictionary of the best practices of building resiliency, and fault tolerance data architecture. It goes on to discuss AI-driven automation, edge computing, and quantum computing among other emerging trends. This book aims and help professionals optimize data pipelines, support business intelligence, and facilitate real-time decision-making in the modern data ecosystems by addressing both the foundational principles and advanced strategies.
This book discusses how AI-based intelligence continues to revolutionise modern networked systems using cybersecurity, networking, and AI. It explains how AI improves networking, resource allocation, and security.
First, the book outlines the inevitable growth of networking technology as AI is needed to govern system complexity. This book then discusses AI-driven network optimisation strategies like traffic management, predictive analytics, and autonom
This book discusses how AI-based intelligence continues to revolutionise modern networked systems using cybersecurity, networking, and AI. It explains how AI improves networking, resource allocation, and security.
First, the book outlines the inevitable growth of networking technology as AI is needed to govern system complexity. This book then discusses AI-driven network optimisation strategies like traffic management, predictive analytics, and autonomous network operations.
Security is a gateway for immediate and upcoming attacks, AI infrastructure vulnerabilities, and proactive threat detection and response. It also addresses ethical and data privacy considerations to use AI properly.
Important technologies include edge computing, IoT, quantum computing, and 6G networks. We address how AI-driven networking is affecting the industry globally and what is hindering its mainstream adoption in the last part.
This book helps AI, cybersecurity, and networking experts see AI-powered network intelligence and use it for a smarter, safer, and more efficient digital future.
This book details data engineering from data collection to insights. A practical reference for data engineers, IT professionals, and analysts to master modern data engineering basics and advanced approaches.
This book provides a strong start by introducing data engineering's evolution, fundamental principles, and critical technologies. Next, data acquisition and storage are examined, covering data extraction, relational vs. NoSQL databases, and cloud
This book details data engineering from data collection to insights. A practical reference for data engineers, IT professionals, and analysts to master modern data engineering basics and advanced approaches.
This book provides a strong start by introducing data engineering's evolution, fundamental principles, and critical technologies. Next, data acquisition and storage are examined, covering data extraction, relational vs. NoSQL databases, and cloud storage. Then it discusses data processing and transformation, including ETL procedures, real-time processing, and data integration techniques.
Data quality and good visualisation are essential for useful reports, which the book covers in important metrics, validation methodologies, and visualisation technologies. Security, privacy, encryption, access management, and global data regulations are covered.
Ending with ‘Advance topics’ including machine learning integration, big data technologies, and cloud data engineering, the part looks ahead to industry developments. Data engineering students must read this book for theory, applications, and multiple-choice tests.
This book gives a complete view of how AI is evolving to turn cloud computing and automation on their head. Moving on, it covers cloud fundamentals including architecture, service models (IaaS, PaaS, SaaS), and deployment strategies (public, private, hybrid, and multi cloud). AI is integrated in the cloud which includes AIaaS, machine learning, NLP, and data processing. Such tools as DevOps, Infrastructure as Code (IaC), and AI driven automation tools such as
This book gives a complete view of how AI is evolving to turn cloud computing and automation on their head. Moving on, it covers cloud fundamentals including architecture, service models (IaaS, PaaS, SaaS), and deployment strategies (public, private, hybrid, and multi cloud). AI is integrated in the cloud which includes AIaaS, machine learning, NLP, and data processing. Such tools as DevOps, Infrastructure as Code (IaC), and AI driven automation tools such as predictive maintenance and chatbots are studied. Scale and SCALABILITY, resource optimization and cost management are discussed as much as security, compliance, and cloud-native security frameworks. The applications of this work are healthcare, finance, smart cities, retail and manufacturing. The book also discusses possible future trends like decentralized cloud systems, green computing, and ethical adoption of AI. Addressed to IT professionals, business leaders, and researchers, it presents tactics for using AI-driven cloud technologies of efficiency and innovation.
The topic of this book is the evolving landscape of cloud database security and its role in the threat of cyber-attacks by artificial intelligence (AI). It begins with the introduction of basic cloud computing concepts, points out the significant security problems, and describes data protection as important. The authors delve into deep learning (DL) and machine learning (ML) techniques for real-time threat detection, anomaly identification, and intrusion preve
The topic of this book is the evolving landscape of cloud database security and its role in the threat of cyber-attacks by artificial intelligence (AI). It begins with the introduction of basic cloud computing concepts, points out the significant security problems, and describes data protection as important. The authors delve into deep learning (DL) and machine learning (ML) techniques for real-time threat detection, anomaly identification, and intrusion prevention. The book covers the use of AI for security mechanisms, predictive analytics, and automated threat intelligence sharing. It also discusses new developments, such as federated learning, blockchain security, and homomorphic encryption. In addition, the text deals with the risks of quantum computing, regulation compliance, and rising threats. The book is a standalone cybersecurity reference for students, professionals, and researchers based on acknowledged theoretical ideas and practical applications. Cloud security should include AI and ML to improve integrity and resilience against smart threats.
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