New Horizons For A Data Driven Economy

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New Horizons for a Data-Driven Economy

José María Cavanillas,Edward Curry,Wolfgang Wahlster
New Horizons for a Data Driven Economy Book PDF

Author : José María Cavanillas,Edward Curry,Wolfgang Wahlster
Publisher : Springer
Page : 303 pages
File Size : 42,6 Mb
Release : 2016-04-04
Category : Computers
ISBN : 9783319215693

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New Horizons for a Data-Driven Economy by José María Cavanillas,Edward Curry,Wolfgang Wahlster Pdf

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

New Horizons for a Data-Driven Economy

José María Cavanillas,Edward Curry,Wolfgang Wahlster
New Horizons for a Data Driven Economy Book PDF

Author : José María Cavanillas,Edward Curry,Wolfgang Wahlster
Publisher : Springer
Page : 303 pages
File Size : 51,9 Mb
Release : 2016-04-11
Category : Computers
ISBN : 331921568X

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New Horizons for a Data-Driven Economy by José María Cavanillas,Edward Curry,Wolfgang Wahlster Pdf

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Data-Driven Business Models for the Digital Economy

Rado Kotorov
Data Driven Business Models for the Digital Economy Book PDF

Author : Rado Kotorov
Publisher : Business Expert Press
Page : 161 pages
File Size : 52,7 Mb
Release : 2020-04-21
Category : Business & Economics
ISBN : 9781951527815

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Data-Driven Business Models for the Digital Economy by Rado Kotorov Pdf

Today the fastest growing companies have no physical assets. Instead, they create innovative digital products and new data-driven business models. They capture huge market share fast and their capitalizations skyrocket. The success of these digital giants is pushing all companies to rethink their business models and to start digitizing their products and services. Whether you are a new start-up building a digital product or service, or an employee of an established company that is transitioning to digital, you need to consider how digitization has transformed every aspect of management. Data-driven business models scale not through asset accumulation and product standardization, but through disaggregation of supply and demand. The winners in the new economy master the demand for one and the supply to millions. Throughout the book the author illustrates with examples and use cases how the market competition has changed and how companies adept to the new rules of the game. The economic levers of scale and scope are also different in the digital economy and companies have to learn new tactics how to achieve and sustain their competitive advantage. While data is at the core of all digital business models, the monetization strategies vary across products, services and business models. Our Monetization Matrix is a model that helps managers, marketers, sales professionals, and technical product designers to align the digital product design with the data-driven business model.

The Elements of Big Data Value

Edward Curry,Andreas Metzger,Sonja Zillner,Jean-Christophe Pazzaglia,Ana García Robles
The Elements of Big Data Value Book PDF

Author : Edward Curry,Andreas Metzger,Sonja Zillner,Jean-Christophe Pazzaglia,Ana García Robles
Publisher : Springer Nature
Page : 399 pages
File Size : 47,7 Mb
Release : 2021-08-01
Category : Computers
ISBN : 9783030681760

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The Elements of Big Data Value by Edward Curry,Andreas Metzger,Sonja Zillner,Jean-Christophe Pazzaglia,Ana García Robles Pdf

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.

Data-Driven Solutions to Transportation Problems

Yinhai Wang,Ziqiang Zeng
Data Driven Solutions to Transportation Problems Book PDF

Author : Yinhai Wang,Ziqiang Zeng
Publisher : Elsevier
Page : 299 pages
File Size : 42,5 Mb
Release : 2018-12-04
Category : Transportation
ISBN : 9780128170274

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Data-Driven Solutions to Transportation Problems by Yinhai Wang,Ziqiang Zeng Pdf

Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data analysis, and machine learning. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation. Readers will learn how to solve problems relating to energy efficiency under connected vehicle environments, urban travel behavior, trajectory data-based travel pattern identification, public transportation analysis, traffic signal control efficiency, optimizing traffic networks network, and much more. Synthesizes the newest developments in data-driven transportation science Includes case studies and examples in each chapter that illustrate the application of methodologies and technologies employed Useful for both theoretical and technically-oriented researchers

Technologies and Applications for Big Data Value

Edward Curry,Sören Auer,Arne J. Berre,Andreas Metzger,Maria S. Perez,Sonja Zillner
Technologies and Applications for Big Data Value Book PDF

Author : Edward Curry,Sören Auer,Arne J. Berre,Andreas Metzger,Maria S. Perez,Sonja Zillner
Publisher : Springer Nature
Page : 555 pages
File Size : 42,5 Mb
Release : 2022
Category : Application software
ISBN : 9783030783075

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Technologies and Applications for Big Data Value by Edward Curry,Sören Auer,Arne J. Berre,Andreas Metzger,Maria S. Perez,Sonja Zillner Pdf

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part "Technologies and Methods" contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part "Processes and Applications" details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems.

Model-Driven Development and Operation of Multi-Cloud Applications

Elisabetta Di Nitto,Peter Matthews,Dana Petcu,Arnor Solberg
Model Driven Development and Operation of Multi Cloud Applications Book PDF

Author : Elisabetta Di Nitto,Peter Matthews,Dana Petcu,Arnor Solberg
Publisher : Springer
Page : 154 pages
File Size : 48,7 Mb
Release : 2016-12-22
Category : Technology & Engineering
ISBN : 9783319460314

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Model-Driven Development and Operation of Multi-Cloud Applications by Elisabetta Di Nitto,Peter Matthews,Dana Petcu,Arnor Solberg Pdf

This books is open access under a CC BY 4.0 license. This book summarizes work being undertaken within the collaborative MODAClouds research project, which aims to facilitate interoperability between heterogeneous Cloud platforms and remove the constraints of deployment, portability, and reversibility for end users of Cloud services. Experts involved in the project provide a clear overview of the MODAClouds approach and explain how it operates in a variety of applications. While the wide spectrum of available Clouds constitutes a vibrant technical environment, many early-stage issues pose specific challenges from a software engineering perspective. MODAClouds will provide methods, a decision support system, and an open source IDE and run-time environment for the high-level design, early prototyping, semiautomatic code generation, and automatic deployment of applications on multiple Clouds. It will free developers from the need to commit to a fixed Cloud technology stack during software design and offer benefits in terms of cost savings, portability of applications and data between Clouds, reversibility (moving applications and data from Cloud to non-Cloud environments), risk management, quality assurance, and flexibility in the development process.

Big Data Governance and Perspectives in Knowledge Management

Strydom, Sheryl Kruger,Strydom, Moses
Big Data Governance and Perspectives in Knowledge Management Book PDF

Author : Strydom, Sheryl Kruger,Strydom, Moses
Publisher : IGI Global
Page : 304 pages
File Size : 40,5 Mb
Release : 2018-11-16
Category : Computers
ISBN : 9781522570783

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Big Data Governance and Perspectives in Knowledge Management by Strydom, Sheryl Kruger,Strydom, Moses Pdf

The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information science professionals, software developers, computer engineers, graduate-level computer science students, policymakers, and managers seeking current research on the convergence of big data and information governance as two major trends in information management.

Research Anthology on Artificial Intelligence Applications in Security

Management Association, Information Resources
Research Anthology on Artificial Intelligence Applications in Security Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2253 pages
File Size : 40,5 Mb
Release : 2020-11-27
Category : Computers
ISBN : 9781799877486

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Research Anthology on Artificial Intelligence Applications in Security by Management Association, Information Resources Pdf

As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.

Paradigm Shift in Technologies and Innovation Systems

John Cantwell,Takabumi Hayashi
Paradigm Shift in Technologies and Innovation Systems Book PDF

Author : John Cantwell,Takabumi Hayashi
Publisher : Springer Nature
Page : 321 pages
File Size : 49,8 Mb
Release : 2019-11-02
Category : Science
ISBN : 9789813293502

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Paradigm Shift in Technologies and Innovation Systems by John Cantwell,Takabumi Hayashi Pdf

This book provides some new ideas on the conceptualization of a shift in technological paradigm, and it explores in depth the relevance of this concept for research on innovation systems. It examines text-mining software and analyzes patent data as well as academic and business journals to illustrate the paradigm shift of newly emerging technologies, such as the all-solid-state battery and automatic driving for electric vehicles, and surgical robots. It also explores the critical role of emerging software technologies by examining US, EU, and Japanese patent statistics. Highlighting the paradigm shift of technologies since the 1990s and the geographical dispersion of innovative capabilities, it identifies essential trends toward new innovation systems as well as the concentration and dispersion of national and corporate R&D capabilities that have taken place as a result. In this new paradigm, the competitiveness of a company is decisively determined by other innovations in systems and management. Since the 1990s, when a network economy began to be established and technological know-how came to be easily transferred across borders, the changing structure of technological activities has required organizations with traditional integral and closed architecture models to move toward open innovation or modular architectures. These changes involve wider technological areas and cognitive diversity among international inter-firm and intra-firm R&D networks. This book is highly recommended not only to academicians but also to business people seeking an in-depth and up-to-date overview of the paradigm shift of technologies and new innovation systems.

New Technology, Big Data and the Law

Marcelo Corrales,Mark Fenwick,Nikolaus Forgó
New Technology Big Data and the Law Book PDF

Author : Marcelo Corrales,Mark Fenwick,Nikolaus Forgó
Publisher : Springer
Page : 330 pages
File Size : 41,5 Mb
Release : 2017-09-04
Category : Law
ISBN : 9789811050381

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New Technology, Big Data and the Law by Marcelo Corrales,Mark Fenwick,Nikolaus Forgó Pdf

This edited collection brings together a series of interdisciplinary contributions in the field of Information Technology Law. The topics addressed in this book cover a wide range of theoretical and practical legal issues that have been created by cutting-edge Internet technologies, primarily Big Data, the Internet of Things, and Cloud computing. Consideration is also given to more recent technological breakthroughs that are now used to assist, and — at times — substitute for, human work, such as automation, robots, sensors, and algorithms. The chapters presented in this edition address these issues from the perspective of different legal backgrounds. The first part of the book discusses some of the shortcomings that have prompted legislators to carry out reforms with regard to privacy, data protection, and data security. Notably, some of the complexities and salient points with regard to the new European General Data Protection Regulation (EU GDPR) and the new amendments to the Japan’s Personal Information Protection Act (PIPA) have been scrutinized. The second part looks at the vital role of Internet intermediaries (or brokers) for the proper functioning of the globalized electronic market and innovation technologies in general. The third part examines an electronic approach to evidence with an evaluation of how these technologies affect civil and criminal investigations. The authors also explore issues that have emerged in e-commerce, such as Bitcoin and its blockchain network effects. The book aims to explain, systemize and solve some of the lingering legal questions created by the disruptive technological change that characterizes the early twenty-first century.

Data Integrity and Quality

Santhosh Kumar Balan
Data Integrity and Quality Book PDF

Author : Santhosh Kumar Balan
Publisher : BoD – Books on Demand
Page : 154 pages
File Size : 48,5 Mb
Release : 2021-06-23
Category : Computers
ISBN : 9781839687983

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Data Integrity and Quality by Santhosh Kumar Balan Pdf

Data integrity is the quality, reliability, trustworthiness, and completeness of a data set, providing accuracy, consistency, and context. Data quality refers to the state of qualitative or quantitative pieces of information. Over five sections, this book discusses data integrity and data quality as well as their applications in various fields.

Maritime Informatics

Mikael Lind,Michalis Michaelides,Robert Ward,Richard T. Watson
Maritime Informatics Book PDF

Author : Mikael Lind,Michalis Michaelides,Robert Ward,Richard T. Watson
Publisher : Springer Nature
Page : 431 pages
File Size : 43,5 Mb
Release : 2020-11-14
Category : Computers
ISBN : 9783030508920

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Maritime Informatics by Mikael Lind,Michalis Michaelides,Robert Ward,Richard T. Watson Pdf

This first book on Maritime Informatics describes the potential for Maritime Informatics to enhance the shipping industry. It examines how decision making in the industry can be improved by digital technology, and introduces the technology required to make Maritime Informatics a distinct and valuable discipline. Based on participating in EU funded research over the last six years to improve the shipping industry, the editors stipulate that there is a need for the new discipline of Maritime Informatics, which studies the application of information systems to increasing the efficiency, safety, and ecological sustainability of the world’s shipping industry. This book examines competition and collaboration between shipping companies, and also companies who serve shipping needs, such as ports and terminals. Practical examples from leading experts give the reader real world examples for better understanding.

Real-time Linked Dataspaces

Edward Curry
Real time Linked Dataspaces Book PDF

Author : Edward Curry
Publisher : Springer Nature
Page : 325 pages
File Size : 45,5 Mb
Release : 2019-11-18
Category : Computers
ISBN : 9783030296650

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Real-time Linked Dataspaces by Edward Curry Pdf

This open access book explores the dataspace paradigm as a best-effort approach to data management within data ecosystems. It establishes the theoretical foundations and principles of real-time linked dataspaces as a data platform for intelligent systems. The book introduces a set of specialized best-effort techniques and models to enable loose administrative proximity and semantic integration for managing and processing events and streams. The book is divided into five major parts: Part I “Fundamentals and Concepts” details the motivation behind and core concepts of real-time linked dataspaces, and establishes the need to evolve data management techniques in order to meet the challenges of enabling data ecosystems for intelligent systems within smart environments. Further, it explains the fundamental concepts of dataspaces and the need for specialization in the processing of dynamic real-time data. Part II “Data Support Services” explores the design and evaluation of critical services, including catalog, entity management, query and search, data service discovery, and human-in-the-loop. In turn, Part III “Stream and Event Processing Services” addresses the design and evaluation of the specialized techniques created for real-time support services including complex event processing, event service composition, stream dissemination, stream matching, and approximate semantic matching. Part IV “Intelligent Systems and Applications” explores the use of real-time linked dataspaces within real-world smart environments. In closing, Part V “Future Directions” outlines future research challenges for dataspaces, data ecosystems, and intelligent systems. Readers will gain a detailed understanding of how the dataspace paradigm is now being used to enable data ecosystems for intelligent systems within smart environments. The book covers the fundamental theory, the creation of new techniques needed for support services, and lessons learned from real-world intelligent systems and applications focused on sustainability. Accordingly, it will benefit not only researchers and graduate students in the fields of data management, big data, and IoT, but also professionals who need to create advanced data management platforms for intelligent systems, smart environments, and data ecosystems.

Electronic Government

Ida Lindgren,Marijn Janssen,Habin Lee,Andrea Polini,Manuel Pedro Rodríguez Bolívar,Hans Jochen Scholl,Efthimios Tambouris
Electronic Government Book PDF

Author : Ida Lindgren,Marijn Janssen,Habin Lee,Andrea Polini,Manuel Pedro Rodríguez Bolívar,Hans Jochen Scholl,Efthimios Tambouris
Publisher : Springer
Page : 376 pages
File Size : 45,7 Mb
Release : 2019-08-19
Category : Computers
ISBN : 9783030273255

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Electronic Government by Ida Lindgren,Marijn Janssen,Habin Lee,Andrea Polini,Manuel Pedro Rodríguez Bolívar,Hans Jochen Scholl,Efthimios Tambouris Pdf

This book constitutes the proceedings of the 18th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2019, held in San Benedetto del Tronto, Italy, in September 2019, in conjunction with the IFIP WG 8.5 IFIP International Conference on Electronic Participation (ePart 2019) and the International Conference for E-Democracy and Open Government Conference (CeDEM 2019). The 27 revised full papers presented were carefully reviewed and selected from 64 submissions. The papers are clustered under the following topical sections: E-Government Foundations; E-Government Services and Open Government; Open Data: Social and Technical Aspects; AI, Data Analytics and Automated Decision Making; and Smart Cities.