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.

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.

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.

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.