A Global Approach To Data Value Maximization

This book presents a systematic discussion about methods and techniques used to extract the maximum informative value from complex data sets. A multitude of approaches and techniques can be applied for that purpose, including data fusion and model integration, multimodal data analysis in different physical domains, audio-video display of data through techniques of “sonification”, multimedia machine learning, and hybrid methods of data analysis. The book begins with the domain of geosciences, before moving on to other scientific areas, like diagnostic medicine and various engineering sectors. As such, it will appeal to a large audience, including geologists and geophysicists, data scientists, physicians and cognitive scientists, and experts in social sciences and knowledge management.

Industrial Tomography: Systems and Applications, Second Edition thoroughly explores the important techniques of industrial tomography, also discusses image reconstruction, systems, and applications. This book presents complex processes, including the way three-dimensional imaging is used to create multiple cross-sections, and how computer software helps monitor flows, filtering, mixing, drying processes, and chemical reactions inside vessels and pipelines. This book is suitable for materials scientists and engineers and applied physicists working in the photonics and optoelectronics industry or in the applications industries. Provides a comprehensive discussion on the different formats of tomography, including advances in visualization and data fusion Includes an excellent overview of image reconstruction using a wide range of applications Presents a comprehensive discussion of tomography systems and their applications in a wide variety of industrial processes

The developmental status of any country is based on its intellectual property (IP). In recent years, intellectual property rights (IPR) have expanded far beyond what was previously imagined. The main purpose of IP law is to encourage the creation of a wide variety of intellectual goods. Intellectual Property - Global Perspective Advances and Challenges discusses issues, recent developments, and solutions in IP. Written by researchers from all over the world, chapters address such topics as copyright, traditional cultural expressions, plagiarism, the role of IP in culture and gender diversity, IP and Blockchain, and much more.

This book is an indispensable guide for executives, programme leaders, and business owners on maximising value from automation and digital transformation. It provides a real-world journey map of automation, from RPA through to intelligent automation, with a focus on practical strategy and management principles intended to help seize the trillions of dollars that are still being left on the table by companies that have not yet made this leap. Though grounded on the research and advisory work of the author team, this book offers clear eyed, easy to read advice for avoiding the ‘transformation bog’ where many organisations find themselves, struggling to maintain their strategy in an environment that feels increasingly dynamic and confusing. This book is not blinded by the brilliant new technology and hones in on what works and what distracts. It provides a total value of ownership framework for navigation and identifies seven core digital capabilities required for success. Ultimately a book for realists rather than digital idealists, it will be a vital resource for professionals who must chart a course to verifiable business performance improvement through digital enterprise empowerment amid often conflicting priorities.

Within education there have been some notable attempts to frame social justice in ways that can help to explain and understand the practices of those working in schools, especially school leaders. The research contained in this book seeks to enhance our understanding of school leaders’ actions as they work to promote socially just practices and/or outcomes in a range of different national contexts. The unique nature of this research is that studies took place in numerous schools across the globe in a variety of contexts yet utilized the same research protocols. This has allowed the researchers to draw conclusions at an international level about social justice decision making, the supports and barriers brought on school leaders by national policy and mandates, and the essential nature of context in the work of social justice leadership. The audience will include scholars on a global scale, given that cases in the book include authors and principals from around the world. The book can also serve as a text for leadership preparation courses as well as courses in social justice, research design, and qualitative research methodologies. Courses in human relations and communication can use the content as examples of the negotiations and challenges of teamwork in international settings. A primary audience for the book is system/school level leaders in contexts and communities throughout the world for understanding comparative leadership and social justice decision making. Current principals will find the cases useful as reflexive tools for their own work. Educational leaders, educational reformers, and policy makers will benefit from this book as they seek to understand the impact of their work and its influence on promoting equity in schools across the globe.

Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make statistical inference. This book introduces both conditional and unconditional exact approaches for the data in 2 by 2, or 2 by k contingency tables, and is an ideal reference for users who are interested in having the convenience of applying asymptotic approaches, with less computational time. In addition to the existing conditional exact inference, some efficient, unconditional exact approaches could be used in data analysis to improve the performance of the testing procedure. Demonstrates how exact inference can be used to analyze data in 2 by 2 tables Discusses the analysis of data in 2 by k tables using exact inference Explains how exact inference can be used in genetics

Technological advancements of the past several decades in computer and telecommunication technologies have had a profound impact upon the fundamental structures of society, and particularly, upon organizations. As these technologies have matured and developed, many organizations have been looking into the organizational and managerial changes that can be made that allow the organization to achieve greater utilization of these technologies to improve their competitive postures.Web-enabled technologies have become a serious contender. Many global organizations are looking into the emerging web-enabled technologies to make their dispersed operations around the world more efficient and maintaining greater control over their resources. Those organizations that have not attempted to identify and master the many applications of web-enabled technologies will have serious difficulty competing and surviving.This book gives you the latest research findings/writings related to the web-enabled technologies utilization and management in organizations throughout the world.

This Open Access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It 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. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. 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.