In the rapidly evolving landscape of finance and governance, the integration of blockchain technology and artificial intelligence is reshaping the way we perceive and interact with traditional systems. In Applications of Blockchain and Artificial Intelligence in Finance and Governance, the authors delve into the intricacies of this dynamic intersection, offering a comprehensive exploration of the transformative potential of these cutting-edge technologies. From dissecting the symbiotic relationship between artificial intelligence and blockchain to examining their profound impact on cryptocurrency markets, each chapter offers invaluable insights into the role of these technologies in shaping the future of finance. With a meticulous review of open risks and challenges, the book navigates through the complexities of data security in public and consortium blockchain systems, paving the way for enhanced trust and transparency in financial transactions. Through real-world case studies and theoretical frameworks, readers are guided through the application of intelligent resource allocation for data analytics, unlocking the potential for optimized decision-making in blockchain-enabled financial transactions. Moreover, the book explores the revolutionary implications of blockchain and AI in maintaining smart governance records, revolutionizing accountability and efficiency in public administration.
This book:

• Introduces a step-by-step procedure for developing blockchain and artificial intelligence-based applications for the finance industry using decentralized applications and hyperledgers.
• Discusses improved trust framework and data integrity in the blockchain using artificial intelligence in the finance sector.                                                                                        
• Highlights the importance of blockchain in solving transaction costs, coordination costs, and supervision costs for efficient resource allocation.                                 
• Explores the use of explainable artificial intelligence for policy development, service delivery, and regulatory compliance.                 
• Explains how federated learning can be used to build more accurate and robust models for financial risk assessment, fraud detection, and customer profiling.                     

From the transformative effects on the accounting profession to the burgeoning adoption of blockchain technology in supply chain finance, this book serves as an indispensable guide for professionals, academics, and enthusiasts alike. Applications of Blockchain and Artificial Intelligence in Finance and Governance illuminates the path toward a more secure, efficient, and equitable financial future, where innovation and collaboration reign supreme.