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Enterprise Systems and Technological Convergence
Enterprise Systems have been used for many years to integrate technology with the management of an organization but rapid technological disruptions are now creating new challenges and opportunities that require urgent consideration. This book reappraises the implementation and management of Enterprise Systems in the digital age and investigates the vital link between business processes, information technology and the Internet for an organization’s competitive advantage and success. This book primarily focuses on the implementation, operation, management and integration of Enterprise Systems with fastemerging disruptive technologies such as blockchains, big data, cryptocurrencies, artificia...
Applications of Big Data in Large- and Small-Scale Systems
With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event pred...
Edge Computing
Over the years, computing has moved from centralized location-based computing to distributed cloud computing. Because of cloud computing’s security, regulatory, and latency issues, it was necessary to move all computation processes to the edge of the network (edge computing). However, at the edge, traditional computing devices no longer exist on their own. They have been joined by millions of mobile, Internet of Things (IoT), and smart devices, all needing computation. Therefore, edge computing infrastructure is necessary for multiple devices at the edge of the network. This book explores various technologies that make edge computing possible and how to manage computing at the edge and integrate it with existing networks and 5G networks of the future. It investigates the current state-of-the-art infrastructure and architecture and highlights advances and future trends. Security and privacy become a concern when you compute at the edge because the data needs to travel across various network nodes and user devices at the edge. As such, this book also discusses the management of security, privacy, and other network issues.
Impact of Digital Transformation on Security Policies and Standards
Digital transformation is a revolutionary technology that will play a vital role in major industries, including global governments. These administrations are taking the initiative to incorporate digital programs with their objective being to provide digital infrastructure as a basic utility for every citizen, provide on demand services with superior governance, and empower their citizens digitally. However, security and privacy are major barriers in adopting these mechanisms, as organizations and individuals are concerned about their private and financial data. Impact of Digital Transformation on Security Policies and Standards is an essential research book that examines the policies, standa...
Convergence Of Artificial Intelligence And Blockchain Technologies, The: Challenges And Opportunities
This book covers the growing convergence between Blockchain and Artificial Intelligence for Big Data, Multi-Agent systems, the Internet of Things and 5G technologies. Using real case studies and project outcomes, it illustrates the intricate details of blockchain in these real-life scenarios. The contributions from this volume bring a state-of-the-art assessment of these rapidly evolving trends in a creative way and provide a key resource for all those involved in the study and practice of AI and Blockchain.
Architecture and Security Issues in Fog Computing Applications
As the progression of the internet continues, society is finding easier, quicker ways of simplifying their needs with the use of technology. With the growth of lightweight devices, such as smart phones and wearable devices, highly configured hardware is in heightened demand in order to process the large amounts of raw data that are acquired. Connecting these devices to fog computing can reduce bandwidth and latency for data transmission when associated with centralized cloud solutions and uses machine learning algorithms to handle large amounts of raw data. The risks that accompany this advancing technology, however, have yet to be explored. Architecture and Security Issues in Fog Computing ...
e-Services
The turn of the new millennium has brought with it an explosion of activity around electronic services (e-services) in the form of e-commerce, e-business, e-government, e-learning, and so on. The provision of all possible goods and services electronically via the Internet with the use of semantic web technologies has seen a paradigm shift from the traditional brick-and-mortar location-based services to the ubiquitous provision of goods and services online. An understanding of this paradigm shift and the fundamental properties of e-service composition is required in order to take full advantage of the paradigm. As such, this book provides comprehensive coverage and understanding of the use of e-services within the technological, business, management, and organizational domains. Chapters cover such topics as digitized learning, information and communication technology in sports, cloud computing for universities, and more. This book is a reference book for scholars, researchers, and practitioners looking to update their knowledge on methodologies, theoretical analyses, modeling, simulation, and empirical studies on e-services.
Innovations in Computational Intelligence, Big Data Analytics and Internet of Things
As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors such as manufacturing, health-care, business, education etc. by completely redefining the way people, devices, and apps connect and interact with each other in the eco system. From personal fitness and wellness sensors, implantable devices to surgical robots – IoT is bringing in new tools and efficiencies in the ecosystem resulting in more integrated healthcare. Application of computational intelligence ...
Blockchain Technologies, Applications And Cryptocurrencies: Current Practice And Future Trends
This book serves as a reference for scholars, researchers and practitioners to update their knowledge on methodologies, theoretical analyses, modeling, simulation and empirical studies on blockchain technologies and cryptocurrencies. Chapters on the evolving theory and practice related to distributed ledger technologies and peer-to-peer digital currencies are intended to provide comprehensive coverage and understanding of their uses within the technological, business, and organizational domains.The contributions from this volume also provide a thorough examination of blockchains and cryptocurrencies with respect to issues of management, governance, trust and privacy, and interoperability.Contributed by a diverse range of authors from both academia and professional fields, this reference book presents frontier research in the fields of blockchains and cryptocurrencies.
Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations
This book discusses the convergence of artificial intelligence (AI) and Blockchain and how they can work together to help reach the goals of Industry 4.0. The authors first discuss how AI and Blockchain can help increase performance in business. The authors go on to discuss how the technologies can integrate to provide a competitive edge for businesses through improvements in big data, which has allowed firms to organize huge datasets into structured components that computers can process quickly. The authors also cover security implications and how AI and Blockchain can act as a double-edged sword against cyber-attacks. Impacts in programming, calculations, robotization, robots, and equipment are also discussed. This book caters to an extensive cross-sectional and multi-disciplinary readership. Academics, researchers and their students in topics such as artificial intelligence, cyber-physical systems, ethics, robotics, safety engineering, and safety-critical systems should find the book of value.
