Applications of Blockchain and Artificial Intelligence in Finance and Governance

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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.

Weniger Details

A M Viswa Bharathy completed his Bachelor and Master of Engineering in Computer Science and Engineering in 2008 and 2011, respectively, from Anna University, India. He completed his Ph.D. in the area of Computer Security from the same University in 2017 with highly commendable performance. He has a total of 13+ years of experience in academic teaching. His interests are Computer Networks, Wireless Networks, Ad-hoc and Sensor Networks, Data Science & Blockchain Technology. He has delivered guest lectures and keynote addresses in national and international conferences many times. He is a reviewer and editorial member of many WOS and Scopus journals. He has presented and published more than 30 papers in international conferences and journals. Dac-Nhuong Le has an M.Sc. and Ph.D. in computer science from Vietnam National University, Vietnam in 2009, and 2015, respectively. He is an Associate Professor of Computer Science and Dean of the Faculty of Information Technology at Haiphong University, Vietnam. He has a total academic teaching experience of 20+ years in computer science. He has more than 130+ publications in reputed international conferences, journals, and book chapter contributions (Indexed by SCIE, SSCI, ESCI, Scopus). His research areas are intelligence computing, multi-objective optimization, network security, cloud computing, virtual reality/argument reality, and IoT. Recently, he has been on the technique program committee, the technique reviews, and the track chair for many international conferences. He serves on the editorial board of international journals and has edited/authored 30+ computer science books. P. Karthikeyan obtained his Bachelor of Engineering (B.E.) in Computer Science and Engineering from Anna University, Chennai, Tamil Nadu, India in 2005 and received his Master of Engineering (M.E.) in Computer Science and Engineering from Anna University Coimbatore, India in 2009. He completed his Ph.D. degree at Anna University, Chennai in 2018. He has worked as post-doctorate research fellow at the Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan. He has contributed to the national projects on using technology to promote Human Rights and sustainable development, supported by the National Science and Technology Council, Taiwan. He possesses a high level of proficiency in project development and research, specializing in the domains of cloud computing and the practical application of deep learning. He is well-versed in programming languages, including Java, Python, R, and C. His research endeavors have led to the publication of more than 30 papers in esteemed international journals, many of which have garnered commendable impact factors. Furthermore, he has shared his research insights through presentations at over 20 international conferences, solidifying his reputation within the academic community.