Blockchain and AI in the 4th Industrial Revolution

by Srikanth Kumar Sridhara

ISBN: 9789371709583
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Imprint : Daya Publishing House
Year : 2026
Price : Rs. 12450.00
Biblio : xii+280,, figs., tabls., ind., 25 cm

Author Profile

Srikanth Kumar Sridhara is a professional technologist with over 11 years of experience in working on large-scale enterprise solutions. He has played a crucial role in the architecture, design, development, and delivery of multiple solutions for various databases. His expertise lies in RDBMS, NoSQL, and cloud computing technologies. Srikanth Kumar holds a gold medal in Masters in computer technology from Anna University. While Srikanth has worked with various technologies throughout his career, a couple of years ago he developed a keen interest in exploring new and emerging technologies, particularly blockchain and AI. At that time, both blockchain and AI were still in their early stages in terms of understanding and their impact on databases and applications. Srikanth dedicated a significant amount of time to work on and explore blockchain technology, focusing on a highly sought-after permissioned blockchain. He witnessed the evolution of blockchain through multiple releases.Srikanth strongly believes in the power of sharing knowledge, as he believes it broadens one's perspective. This belief motivated him to write this book.

About The Book

Revolutionary Enchantment: Blockchain and AI in the Fourth Industrial Revolution" takes readers on an exciting trip through two cutting-edge technologies that are transforming our civilization. It begins by reviewing the historical relevance of previous industrial revolutions, establishing the groundwork for the fourth, which will be distinguished by the combination of blockchain and AI. The book investigates blockchain's disruptive influence, emphasizing its ability to decentralize trust, transform industries, and enable decentralized applications. Concurrently, it digs into artificial intelligence's rapid growth, emphasizing its ability to mimic human-like reasoning and decision-making across many disciplines. Case studies highlighting blockchain-powered smart contracts, decentralized autonomous organizations (DAOs), and AI-driven prediction markets are included, highlighting their potential to change sectors and governance models.

Table of Contents

Preface vii 1. The Fourth Industrial Revolution Unveiled 1 Defining the Fourth Industrial Revolution; Challenges and Considerations; The Transformative Power of Blockchain and AI; Considerations and Implications; The combination of blockchain and AI unlocks new possibilities and synergies 2. Exploring Blockchain Technology 13 Introduction; Fundamentals of Blockchain Technology: 3. Demystifying Artificial Intelligence 27 Introduction; Understanding AI and Its Subfields; Natural Language Processing and Computer Vision: 28 4. The Convergence of Blockchain and AI 33 Introduction 5. Industry Transformations Powered by Blockchain & AI 39 Introduction; Finance and banking: Revolutionizing payments, settlements, and identity verification; Supply Chain and Logistics: Ensuring Traceability, Transparency, and Efficiency; Healthcare: Advancing Medical Research, Patient Care, and Data Privacy; Energy and Utilities: Enabling Decentralized Energy Systems and Grid Management 6. Challenges and Opportunities on the Horizon 55 Introduction; Section 1: Scalability and Performance Concerns; Section 2: Regulatory and Legal Considerations; Section 3: Privacy, Trust, and Data Ownership; Section 4: Workforce Disruption and Reskilling; Section 5: Emerging Trends and Future Prospects x Blockchain and AI in the 4Th Industrial Revolution 7. Ethical Implications and Societal Impact 85 Introduction; Section 1: Ethical Considerations in AI Development and Deployment; Section 2: Fairness, Accountability, and Transparency in Algorithms; Section 3: Ensuring Inclusivity and Preventing Bias; Section 4: The Role of Policymakers, Industry, and Academia in Ethical AI; Section 5: Navigating the Social Impact of the Fourth Industrial Revolution 8. Embracing the Future: Strategies for Success 105 Introduction; Section 1: Building a Blockchain and AI-Ready Organization; Section 2: Collaboration and Partnerships for Innovation; Section 3: Addressing Challenges through Multi-Stakeholder Engagement; Section 4: Investing in Talent and Skills Development; Section 5: Seizing Opportunities and Preparing for the Future; Section 1: Understanding the Internet of Things (IoT) and its Potential 9. The Intersection of Blockchain, AI, and the Internet of Things (IoT) 125 Introduction; Section 2: Enhancing IoT with Blockchain and AI Technologies; Section 3: Securing IoT Devices and Data with Blockchain; Section 4: Leveraging AI for Intelligent Decision-making in IoT; Section 5: Use Cases and Applications of Blockchain, AI, and IoT Convergence; Section 1: Quantum Computing and its Impact on Blockchain and Al 9. The Future of Blockchain and AI: Emerging Trends and Possibilities 139 Introduction; Section 2: Interoperability and Standardization in Blockchain and AI Ecosystems; Section 3: Blockchain-based Identity Management and Digital Sovereignty; Section 4: Federated Learning and Collaborative AI Models Section 5: Decentralized Autonomous Organizations (DAOs) and Governance; Section 6: Blockchain and AI in Space Exploration and Colonization; Section 7: The Role of Blockchain and AI in Combating Climate Change; Section 8: Augmented Reality (AR) and Virtual Reality (VR) Powered by Blockchain and AI; Section 9: Challenges and Opportunities of Integrating Blockchain and AI with Other Technologies; Section 10: Speculative Applications: Mind-Machine Interfaces, Neurotechnologies, and Blockchain-based AI Marketplaces 11. Blockchain and AI in Cybersecurity 159 Introduction; Section 1: Addressing Cybersecurity Challenges with Blockchain and AI; Section 2: Immutable Ledgers for Secure Data Storage and Verification; Section 3: AI-Powered Contents xi Threat Detection and Response; Section 4: Identity Management and Authentication Using Blockchain and AI; Section 5: Case Studies of Blockchain and AI Applications in Cybersecurity 12. Blockchain, AI, and Social Impact 171 Introduction; Section 2: Ethical Considerations in Using Blockchain and AI for Social Impact; Section 3: Empowering Marginalized Communities through Decentralized Systems; Section 4: AI-Driven Data Analysis for Social Impact Decision-Making; Section 5: Collaborations between Nonprofits, Governments, and Tech Companies; 13. Investing in the Blockchain and AI Revolution 181 Introduction; Section 1: Understanding Investment Opportunities in Blockchain and AI Startups; Section 2: Evaluating Risks and Returns in the Blockchain and AI Market; Section 3: Strategies for Investing in Cryptocurrencies and Digital Assets; Section 4: The Role of Venture Capital and Institutional Investors; Section 5: Regulatory Considerations and Legal Frameworks 14. Governance and Regulation of Blockchain and AI 193 Introduction; Section 1: Policy Considerations for the Adoption and Regulation of Blockchain and AI; Section 2: Balancing Innovation and Consumer Protection; Section 3: International Cooperation and Standards for Blockchain and AI Governance Section 4: Legal Challenges and Frameworks for Smart Contracts and Autonomous Systems; Section 5: Government Initiatives and Regulatory Sandbox Environments 15. Beyond the Fourth Industrial Revolution: Speculations on the Fifth 207 Introduction; Section 1: Exploring the Potential Future Revolutions Section 2: Ethical, Social, and Economic Implications of the Fifth Industrial Revolution; Section 3: Speculative Technologies and Their Impact on Society and Work; Section 4: Envisioning a Human-Centric Approach to Technology Advancements; Section 5: The role of individuals, policymakers, and industry leaders in shaping the future industrial revolutions 16. Blockchain Scalability and Performance 219 Introduction; Section 1: Scalability Challenges of Blockchain " Technology; Section 2: Layer 2 solutions: Lightning Network, sidechains, and state channels; Section 3: Shading and Partitioning Approaches; Section 4: Consensus Algorithms; Section 5: Case Studies of Scalable Blockchain Implementations xii Blockchain and AI in the 4Th Industrial Revolution 17. Deep Learning and Neural Networks in AI 229 Introduction; Section 1: Understanding the Architecture and Principles of Deep Learning; Section 2: Convolutional Neural Networks (CNNs) for Image and Video Analysis; Section 3: Recurrent Neural Network (RCNNs) for Sequence Data Processing; Section 4: Generative Models: Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs); Section 5: Transfer Learning and Pre-trained Models in Deep Learning 18. Privacy and Confidentiality in Blockchain and AI 241 Introduction; Section 1: Privacy-enhancing Techniques in Blockchain; Section 2: Confidentiality in AI; Section 3: Differential Privacy; Section 4: GDPR and Legal Frameworks for Data Protection Section 5: Balancing Privacy and Transparency in Blockchain-based Systems 19. Blockchain and AI in the Legal Industry 253 Introduction; Section 1: Smart Contracts for Automated Contract Execution and Enforcement; Section 2: Blockchain-based Digital Identity for Legal Purposes; Section 3: AI-powered Legal Research and Document Analysis; Section 4: Blockchain and AI in Intellectual Property Management and Copyright Enforcement Section 5: Challenges and Implications of Blockchain and AI Adoption in the Legal Field; 20. Exploring the Cultural and Ethical Dimensions of Blockchain and AI 265 Introduction; Section 1: Cultural Factors Influencing Blockchain and AI Adoption Across Different Societies; Section 2: Ethical Considerations in AI Decision-Making and Algorithmic Bias" Section 3: Cultural Biases and Challenges in Implementing Blockchain-Based Solutions; Section 4: Inclusivity and Diversity in Blockchain and AI Development 272 Index 277