Human- Centric Integration of Next Generation Data Science and Blockchain Technology

Human- Centric Integration of Next Generation Data Science and Blockchain Technology: Advancing Society 5.0 Paradigms focuses on the current technological landscape addressing the evolving integration of data science and blockchain within the context of Society 5.0. This comprehensive resource explains the convergences between data science, blockchain, and the human-centric vision of Society 5.0, and fills the gap in understanding and navigating this transformative intersection with recent shifts towards more decentralized and data-driven paradigms. In 25 chapters "Human- Centric Integration of Next Generation Data Science and Blockchain Technology: Advancing Society 5.0 Paradigms" introduces the concept of Society 5.0, examining the historical context, and outlines the evolving technological landscape shaping our interconnected future. It discusses the fundamental principles of data science, from data collection and preprocessing to exploratory data analysis and explains the transformative impact of data science and blockchain across industries such as healthcare, finance, education, and transportation. This book is essential to understanding and shaping the future of technology and society from decentralized solutions to predictive analytics/ emerging technologies. This book provides insight to Researchers, clinicians, CEOs and policymakers who need to learn from the failures and successes and exploit the potential of advanced information technologies to build stronger systems, better quality services, and more resilient societies.
- Addresses the evolving integration of data science and blockchain within the context of Society 5.0
- Introduces the basic architecture and taxonomy of blockchain technology
- Explores the future urban lives under the concept of "Society 5.0", characterized by the key phrases of data-driven society and knowledge-intensive society
- Offers a firm foundation and understanding of the recent advancements in various domains such as data analytics, neural networks, computer vision, and robotics, along with practical solutions to existing problems in fields such as healthcare, manufacturing industries, security, and infrastructure management