Artificial Intelligence for Sustainability - Böcker

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.

The rapid evolution of communication systems beyond 5G is driving a new era of intelligent, adaptive, and sustainable networks. This book, Artificial Intelligence and Sustainable Networks: Innovations Beyond 5G, presents a comprehensive exploration of how artificial intelligence (AI) is revolutionizing next-generation connectivity and enabling sustainable technological growth.Covering a wide spectrum of emerging paradigms such as federated learning, smart agriculture,sustainable healthcare, energy-efficient architectures, green Internet of Things systems, and smart city frameworks, this volume highlights innovative approaches for building resilient and eco-conscious digital ecosystems.Bridging theory and practice, the book offers in-depth insights into the integration of AI-driven decision-making with advanced wireless infrastructures, addressing key challenges of scalability, privacy, and environmental sustainability.Explores the intersection of sustainable growth, green computing, automation, and performance optimization of wireless networks and 5G communication.Provides extensive insight into how AI optimizes network management, enhances security, and improves performance.Presents a comprehensive discussion on designing and operating sustainable networks with green technologies.Showcases an analysis of policies and regulations promoting sustainable practices in network development.Includes real-world examples and case studies, such as smart cities, smart agriculture, and autonomous vehicles.It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, telecommunication, computer science and engineering, and renewable energy.