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Blockchain and AI in the 4th Industrial Revolution By Srikanth Kumar Sridhara

Blockchain and AI in the 4th Industrial Revolution By Srikanth Kumar Sridhara

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Publisher ‏: Daya Publishing House
Author : Srikanth Kumar Sridhara
Language ‏: English
Edition : Latest By Publishers
Book Cover : Hard Back
ISBN : 9789354619854

Table of Content


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

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