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Every year, there are advances in the way that we deal with information as individuals, governments, and organizations. We live and work predominantly online resulting in an enormous amount of digital data. The way that information is used is constantly changing with individuals, governments, and corporations all involved in collecting, storing, using, disclosing, and transferring information online. The growth in artificial intelligence and its effects on data will impact all individuals. It is imperative that a greater understanding of these new advances is gained, in particular, the legal implications they have for society. Legal Regulations, Implications, and Issues Surrounding Digital Data is an essential research publication that assists readers in understanding the current technology they are using, how digital data is being used by governments and organizations, and the current legal issues surrounding these areas that set out challenges in everyday life. Highlighting topics such as data protection, cybercrime, and privacy, this book is ideal for lawyers, academicians, IT specialists, policymakers, cybersecurity professionals, law professionals, researchers, academicians, and students.
With the far-reaching global impact of the COVID-19 pandemic, the demand and the necessity for digital enterprise transformation have accelerated exponentially. Management and strategies for the adoption and wider usage of newer digital technologies for the transformation of an enterprise through digital tools such as real-time video communications have shown that people no longer need to be required to be physically present in the same place; rather, they can be geographically dispersed. Technologies such as artificial intelligence, cloud computing, digital banking, and cloud data have taken over tasks that were initially done by human hands and have increased both the automation and efficiency of tasks and the accessibility of information and services. Inclusion of all these newer technologies has shown the fast pace at which the digital enterprise transformation is rapidly evolving and how new ecosystems are reshaping the digital enterprise model. Disruptive Technology and Digital Transformation for Business and Government presents interesting research on digital enterprise transformation at different stages and across different settings within government and industry, along with key issues and deeper insights on the core problems and developing solutions and recommendations for digital enterprise transformation. The chapters examine the three core leaders of transformation: the people such as managers, employees, and customers; the digital technology such as artificial intelligence and robotics; and the digital enterprise, including the products and services being transformed. They unravel the underlying process for management and strategies to fully incorporate new digital tools and technologies across all aspects of an enterprise undergoing transformation. This book is ideally intended for managers, executives, IT consultants, business professionals, government officials, researchers, students, practitioners, stakeholders, academicians, and anyone else looking to learn about new developments in digital enterprise transformation of business systems from a global perspective.
Conflicts of laws arising from injuries to rights of personality—such as defamation or invasion of privacy—have always been difficult, if only because they implicate conflicting societal values about the rights of freedom of speech and access to information, on the one hand, and protection of reputation and privacy, on the other hand. The ubiquity of the internet has dramatically increased the frequency and intensity of these conflicts. This book explores the ways in which various Western countries have addressed these conflicts, but also advances new, practical ideas about how these conflicts should be resolved. These ideas are part of an international model law unanimously adopted by a Resolution of the Institut de droit international, which addresses jurisdiction, choice of law, and recognition and enforcement of foreign judgments. The book provides extensive article-by-article commentary, which explains the philosophy and intended operation of the Resolution.
Daniel Solove presents a startling revelation of how digital dossiers are created, usually without the knowledge of the subject, & argues that we must rethink our understanding of what privacy is & what it means in the digital age before addressing the need to reform the laws that regulate it.
Focusing on systemic risks caused by climate change, this book examines how these risks can be effectively regulated to ensure resilience and avoid catastrophe. Systemic risks are risks that threaten the systems upon which society depends, including ecosystems, social systems, financial systems, and systems of infrastructure. Such risks are typically characterised by inherent complexity, profound uncertainty, and overwhelming ambiguity. In combination, these features pose significant regulatory challenges for policy and law-makers. Examining how different types of systemic risks caused by climate change are being regulated in four different jurisdictions – the EU, the UK, the US and Australia – this book identifies deficiencies associated with regulating systemic risks using a traditional approach, based on a linear relationship between risk and regulation, which is widely used to regulate risk. The book advances a regulatory approach that is, instead, founded on the concept of "risk governance". This involves a structured yet flexible, holistic, interdisciplinary and inclusive basis for responding to systemic risks; and it is, this book argues, a more effective basis for regulating systemic risks given their uncertainty, complexity and ambiguity. This book will appeal to academics, policy and law-makers and practitioners working at the intersection of law and policy in the areas of regulation, risk management and climate change.
This symposium brought together leading experts and managers from the public and private sectors who are involved in the creation, dissemination, and use of scientific and technical data and information (STI) to: (1) describe and discuss the role and the benefits and costsâ€"both economic and otherâ€"of the public domain in STI in the research and education context, (2) to identify and analyze the legal, economic, and technological pressures on the public domain in STI in research and education, (3) describe and discuss existing and proposed approaches to preserving the public domain in STI in the United States, and (4) identify issues that may require further analysis.
The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.
Infrastructure development presents significant challenges for both developing and developed countries, hindering their progress in achieving the Sustainable Development Goals (SDGs). Governments often struggle to effectively leverage the necessary resources and expertise for financing and managing infrastructure projects, resulting in untapped potential for sustainable and inclusive development. Achieving the Sustainable Development Goals Through Infrastructure Development, edited by Cristina Raluca Gh. Popescu, Poshan Yu, and Yue Wei, offers a comprehensive guide to address these challenges. Focusing on public-private partnerships (PPPs) as a transformative solution, the book equips policymakers, investors, practitioners, and researchers with the essential knowledge and tools needed to navigate the complexities of infrastructure development and leverage the expertise and resources of the private sector. By showcasing successful case studies, analyzing critical success factors, and providing valuable insights into the implementation of PPPs in both developing and developed countries, this book becomes an indispensable resource for driving progress towards the SDGs. Covering crucial topics such as financing, risk management, legal frameworks, and sustainability considerations, it empowers readers to make informed decisions and foster collaborative partnerships between the public and private sectors. Through its comprehensive roadmap, this book enables stakeholders to unlock the full potential of sustainable and inclusive infrastructure development, paving the way for a prosperous future for all.
Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.