5G and Beyond: intellectual property and competition policy in the internet of things by
5G communications technologies will transform entire industries around the world and are already a core element of the mobile communications and automotive ecosystems. This book brings together some of the world’s leading thinkers in law, economics, and competition policy, drawn from academia, government, and industry, to lay the intellectual foundation for sound innovation and competition policy in wireless-enabled environments.
Deep Learning in Time Series Analysis by 
Artificial Intelligence for Business: innovation, tools and practices by
This book seeks to build a shared understanding of Artificial Intelligence (AI) within the global business scenario today and in the near future. Drawing on academic theory and real-world case studies, it examines AI's development and application across a number of business contexts. This book will be of great interest to academics studying Digital Business, Digital Strategy, Innovation Management, and Information Technology.
Data Science with Semantic Technologies by 
Being with Data: the dashboarding of everyday life by
Once the rarified stuff of scientists and statisticians, data are now at the heart of our global digital economy, transforming everything from how we perceive the value of a professional athlete to the intelligence gathering activities of governments. This book offers an account of one format where users meet data every day: the dashboard, and the author guides readers on the historical development of this format.
What Every CEO Should Know about AI by
The author combines his background in developing and implementing AI with scholarly research to address misconceptions about AI. He explains what AI can and cannot do, carefully delineating facts from beliefs or wishful thinking. Filled with examples, this practical Element provokes thinking.
Transforming Management with AI, Big-Data, and IoT by
The authors start by showing how the application of these technologies has already stretched across domains such as law, political science, policy, and economics and how it will soon permeate areas of autonomous transportation, education, and space exploration, only to name a few. The authors then discuss applications in a variety of industries. This book provides relevant theoretical frameworks and the latest empirical research findings in various applications.
The Encyclopedia of Big Data by
Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.” This is a reference book that covers the subject of big data from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective.
Previously-featured books:
Industry 4.0: a glocal perspective by
The Fourth Industrial Revolution, also known as Industry 4.0, refers to the industrial paradigm bringing together the digital and physical worlds through the cyber-physical Systems, enhanced by the Internet of Things aimed to increase the effectiveness of human-machine cooperation (HMC). This book deals with issues related to the challenges of Industry 4.0 that are faced by enterprises and universities. Topics include human resources management, marketing, technology enhancements and IT systems, and range from discussion of managing multi-national teams to product customization to IoT and RFID systems, and much more.
Big Data Analytics: harnessing data for new business models by 
Machine Learning for Auditors by
This practical book explains how AI, ML, and data science can be applied to auditing. The book is for anyone interested in implementing predictive and prescriptive analytics in support of better decision making and risk-based testing of organizational processes. You also will learn how to gain insights into your data and become a better data storyteller.
Data Stewardship: an actionable guide to effective data management and data governance, 2nd ed. by
Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality. This book provides clear and concise practical advice, including guidelines on how to organize based on organizational/company structure, business functions, and data ownership. The book shows data managers how to gain support for a stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort. It includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards.
The Informed Company by
Learn how to manage a modern data stack and get the most out of data in your organization. This book provides definitive direction on how best to leverage the modern data stack, including cloud computing, columnar storage, cloud ETL tools, and cloud BI tools. You'll learn how to work with Agile methods and set up processes that's right for your company to use your data as a key weapon for your success.
Management Models of Digital Transformation by 
AI-Enabled Analytics for Business by 
Innovative Supply Chain Management Via Digitalization and Artificial Intelligence by 
Business Forecasting: the emerging role of AI & machine learning by 
Data Science for Economics and Finance by
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models.
Machine Learning and Probabilistic Graphical Models for Decision Support Systems by 
Intelligent Systems and Applications in Business and Finance by Machine Learning for Auditors: automating fraud investigations through artificial intelligence by 
Data Warehousing and Analytics: fueling the data engine by 
Data-Driven Innovation: Why the Data-Driven Model Will Be Key to Future Success by Past featured titles:
Statistical Foundations of Data Science by
This volume gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications
Transactions on Large-Scale Data- and Knowledge-Centered Systems XL by
This, the 40th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include personalized social query expansion approaches, continuous query on social media streams, elastic processing systems, and semantic interoperability for smart grids and NoSQL environments.
The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem by
This open access book provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.
Guide to Maritime Informatics by
The emerging field of Maritime Informatics studies the application of information technology and information systems to maritime transportation. Maritime Informatics can be considered as both a field of study and domain of application. This unique, niche publication focuses on maritime science, and includes maritime industry examples.
Concise Guide to Databases, 2nd ed. by
Modern businesses depend on data for their very survival, creating a need for sophisticated databases and database technologies to help store, organize and transport their valuable data. This updated and expanded, easy-to-read textbook/reference presents a comprehensive introduction to databases, opening with a concise history of databases and of data as an organizational asset, including theoretical discussion and practical examples. Practicing database professionals and application developers will also find the book an ideal reference that addresses today's business needs.
A Beginner's Guide to Structural Equation Modeling by
Noted for its crystal clear explanations, this book is considered the most comprehensive introductory text to structural equation modeling (SEM). Noted for its thorough review of basic concepts and a wide variety of models, this book better prepares readers to apply SEM to a variety of research questions.
Entertainment Science: turning data into information, better decisions, and stronger organizations by
Decision making in the entertainment industry has long been dominated by managerial intuition and instinct. This book builds the case that combining such intuition with data analytics and rigorous scholarly knowledge provides a source of sustainable competitive advantage - the same recipe for success that is behind the rise of firms such as Netflix and Spotify, but has also fueled Disney's recent success. The authors provide a large repertoire of scientific studies by business scholars and entertainment economists. They identify essential factors, mechanisms, and methods that help a new entertainment product succeed.
Ordered Regression Models by 
Practical Data Mining Techniques and Applications by 
Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications by 
Machine Learning for Managers by 
Applications of mathematical modeling, machine learning, and intelligent computing for industrial development by 
Embedded artificial intelligence: devices, embedded systems, and industrial applications by Selected subjects for easy browsing:
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Cross-Cultural Design. Experience and Product Design Across Cultures by 
Business Intelligence by 
Business Modeling and Software Design by 
