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This book focuses on futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools in models of data-driven blockchain ecosystems. The Data-Driven Blockchain Ecosystem: Fundamentals, Applications, and Emerging Technologies discusses how to implement and manage processes for releasing and delivering blockchain applications. It presents the core of blockchain technology, IoT-based and AI-based blockchain systems, and various manufacturing areas related to Industry 4.0. The book illustrates how to apply design principles to develop and manage blockchain networks, and also covers the role that cloud computing plays in blockchain applications. All major technologies involved in blockchain-embedded applications are included in this book, which makes it useful to engineering students, researchers, academicians, and professionals interested in the core of blockchain technology.
Proposing issues that hinder equal development, Inclusive Developments through Socio-economic Indicators: New Theoretical and Empirical Insights focuses upon the roles of different socio-economic indicators in explaining the convergence or inclusiveness of income across groups of varying wealth as well as within larger economies
This book contains theoretical, econometric, experimental, and policy-oriented contributions of the DTMIS conference participants. Every year the DTMIS conference brings together experts from academia and industry to uncover the challenges and solutions to ensuring digital transformation on manufacturing, infrastructure, and service. The DTMIS proceedings is distinguished by the fact that it contains works not only by scientists, but also by practitioners in the industry, and, of course, their collaboration works are of particular and undeniable value. This book is useful for experienced scientists and practitioners who seek to find something new for themselves and apply it in their work, as well as for students at the beginning of their scientific activity.
The digital age has witnessed the meteoric rise of artificial intelligence (AI), a paradigm-shifting technology that has redefined the boundaries of computation and decision-making. Initially, AI's journey began with basic rule-based systems, evolving into the current digital age is dominated by complex machine learning and deep learning models. The digital AI presence and progression has brought with it a myriad of ethical challenges, necessitating a rigorous examination of AI's role in complex and interconnected systems. Ethical Dimensions of AI Development notes that the core of these challenges are issues of privacy, transparency, and validity. AI's ability to process vast datasets can intrude on individual privacy, while opaque algorithmic decision-making processes can obscure transparency. Addressing these ethical concerns is crucial to fostering trust and ensuring the responsible use of AI technologies in society. Covering topics such as accountability, discrimination, and privacy and security, this book is an essential resource for AI researchers and developers, data scientists, ethicists, policy makers, legal professionals, technology industry leaders, and more.
In the face of an evolving global landscape characterized by climate change and a pressing need for sustainable development, the finance sector remains at a critical juncture. Traditional financial models struggle to address the challenges posed by the transition to a low-carbon economy, and unlocking private investments for sustainable initiatives remains an uphill battle. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into financial systems presents both promise and peril, with the potential to reshape the industry while posing unprecedented challenges. Issues of Sustainability in AI and New-Age Thematic Investing is a beacon of insight and solutions in the realm of green finance and AI/ML integration. Geared toward academic scholars, policymakers, and industry experts, this book serves as a comprehensive guide to navigating the intricacies of sustainable development and energy transition. By highlighting the pivotal role of AI/ML in green finance, the publication bridges the gap between theoretical understanding and practical implementation, offering actionable solutions for unlocking private investments.
In the field of strategic management and business intelligence, a formidable challenge is present—conventional decision-making processes, heavily reliant on internal and external reports, struggle to meet the demands of this data-driven era. As organizations grapple with the increasing influx of data, the imperative for a strategic shift becomes undeniably apparent. Using Strategy Analytics for Business Value Creation and Competitive Advantage helps to guide leaders in extracting value, structuring complex problems, and crafting robust business strategies. Scholars and industry experts alike will find within the pages of this comprehensive guide a roadmap to navigate the intersection of org...
This book contains the conference proceedings of ICABCS 2023, a non-profit conference with the objective to provide a platform that allows academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security. It explores the recent advancement in field of Artificial Intelligence, Blockchain, Communication and Security in this digital era for novice to profound knowledge about cutting edges in artificial intelligence, financial, secure transaction, monitoring, real time assistance and security for advanced stage lear...