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IoTtransform explains the IoT Business Transformation System that organizations can use to create succesful Internet of Things deployments. Using this systematic approach, organizations start with their key business pain points and challenges. After creating their IoT Target Outcome they will baseline their current situation and document their Target Value. The root causes of the gap will be explored to determine how the Internet of Things can be cost-effectively used to solve the gap. The Iot StratGraph and Tasks Plan are created. The resulting Internet of Things plans are mapped to the organization's culture to determine congruence and potential issues. Lasty, organizational change techniques are introduced to anchor the desired business transformations.
InsurTech: A Legal and Regulatory View by Pierpaolo Marano,Kyriaki Noussia Pdf
This Volume of the AIDA Europe Research Series on Insurance Law and Regulation explores the key trends in InsurTech and the potential legal and regulatory issues that accompany them. There is a proliferation of ideas and concepts within InsurTech that will fundamentally change the market in the next few years. These innovations have the potential to change the way the insurance industry works and alter the relationships between customers and insurers, resulting in insurance products that are more closely aligned to individual preferences and priced more appropriately to the risk. Increasing use of technology in the insurance sector is having both a disruptive and transformative impact on areas including product development, distribution, modelling, underwriting and claims and administration practice. The result is a new industry, known as InsurTech. But while the insurance market looks to technology for greater efficiency, regulators are beginning to raise concerns about managing potential risks. The first part of the book examines technological innovations relevant for insurance, such as FinTech, InsurTech, Sharing Economy, and the Internet of Things. The second part then gathers contributions on insurance contract law in a digitalized world, while the third part focuses on cyber insurance and robots. Last but not least, the fourth part of the book discusses legal and ethical questions regarding autonomous vehicles and transportation, including the shipping industry, as well as their impact on the insurance sector and civil liability. Written by legal scholars and practitioners, the book offers international, comparative and European perspectives. The Chapters "FinTech, InsurTech and the Regulators" by Viktoria Chatzara, "Smart Contracts in Insurance. A Law and Futurology Perspective" by Angelo Borselli and "Room for Compulsory Product Liability Insurance in the European Union for Smart Robots?” by Aysegul Bugra are available open access under a CC BY 4.0 license at link.springer.com. All three open access chapters were funded by BIPAR.
The Internet of Things by Scott J. Shackelford Pdf
The Internet of Things (IoT) is the notion that nearly everything we use, from gym shorts to streetlights, will soon be connected to the Internet; the Internet of Everything (IoE) encompasses not just objects, but the social connections, data, and processes that the IoT makes possible. Industry and financial analysts have predicted that the number of Internet-enabled devices will increase from 11 billion to upwards of 75 billion by 2020. Regardless of the number, the end result looks to be a mind-boggling explosion in Internet connected stuff. Yet, there has been relatively little attention paid to how we should go about regulating smart devices, and still less about how cybersecurity should be enhanced. Similarly, now that everything from refrigerators to stock exchanges can be connected to a ubiquitous Internet, how can we better safeguard privacy across networks and borders? Will security scale along with this increasingly crowded field? Or, will a combination of perverse incentives, increasing complexity, and new problems derail progress and exacerbate cyber insecurity? For all the press that such questions have received, the Internet of Everything remains a topic little understood or appreciated by the public. This volume demystifies our increasingly "smart" world, and unpacks many of the outstanding security, privacy, ethical, and policy challenges and opportunities represented by the IoE. Scott J. Shackelford provides real-world examples and straightforward discussion about how the IoE is impacting our lives, companies, and nations, and explain how it is increasingly shaping the international community in the twenty-first century. Are there any downsides of your phone being able to unlock your front door, start your car, and control your thermostat? Is your smart speaker always listening? How are other countries dealing with these issues? This book answers these questions, and more, along with offering practical guidance for how you can join the effort to help build an Internet of Everything that is as secure, private, efficient, and fun as possible.
Data Security in Internet of Things Based RFID and WSN Systems Applications by Rohit Sharma,Rajendra Prasad Mahapatra,Korhan Cengiz Pdf
This book focuses on RFID (Radio Frequency Identification), IoT (Internet of Things), and WSN (Wireless Sensor Network). It includes contributions that discuss the security and privacy issues as well as the opportunities and applications that are tightly linked to sensitive infrastructures and strategic services. This book addresses the complete functional framework and workflow in IoT-enabled RFID systems and explores basic and high-level concepts. It is based on the latest technologies and covers the major challenges, issues, and advances in the field. It presents data acquisition and case studies related to data-intensive technologies in RFID-based IoT and includes WSN-based systems and their security. It can serve as a manual for those in the industry while also helping beginners to understand both the basic and advanced aspects of IoT-based RFID-related issues. This book can be a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered, and find solutions that have been adopted in the fields of IoT and analytics.
Next Generation Internet of Things – Distributed Intelligence at the Edge and Human-Machine Interactions by Ovidiu Vermesan Pdf
This book provides an overview of the next generation Internet of Things (IoT), ranging from research, innovation, development priorities, to enabling technologies in a global context. It is intended as a standalone in a series covering the activities of the Internet of Things European Research Cluster (IERC), including research, technological innovation, validation, and deployment.The following chapters build on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT–EPI), the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects, presenting global views and state-of-the-art results regarding the next generation of IoT research, innovation, development, and deployment.The IoT and Industrial Internet of Things (IIoT) are evolving towards the next generation of Tactile IoT/IIoT, bringing together hyperconnectivity (5G and beyond), edge computing, Distributed Ledger Technologies (DLTs), virtual/ andaugmented reality (VR/AR), and artificial intelligence (AI) transformation.Following the wider adoption of consumer IoT, the next generation of IoT/IIoT innovation for business is driven by industries, addressing interoperability issues and providing new end-to-end security solutions to face continuous treats.The advances of AI technology in vision, speech recognition, natural language processing and dialog are enabling the development of end-to-end intelligent systems encapsulating multiple technologies, delivering services in real-time using limited resources. These developments are focusing on designing and delivering embedded and hierarchical AI solutions in IoT/IIoT, edge computing, using distributed architectures, DLTs platforms and distributed end-to-end security, which provide real-time decisions using less data and computational resources, while accessing each type of resource in a way that enhances the accuracy and performance of models in the various IoT/IIoT applications.The convergence and combination of IoT, AI and other related technologies to derive insights, decisions and revenue from sensor data provide new business models and sources of monetization. Meanwhile, scalable, IoT-enabled applications have become part of larger business objectives, enabling digital transformation with a focus on new services and applications.Serving the next generation of Tactile IoT/IIoT real-time use cases over 5G and Network Slicing technology is essential for consumer and industrial applications and support reducing operational costs, increasing efficiency and leveraging additional capabilities for real-time autonomous systems.New IoT distributed architectures, combined with system-level architectures for edge/fog computing, are evolving IoT platforms, including AI and DLTs, with embedded intelligence into the hyperconnectivity infrastructure.The next generation of IoT/IIoT technologies are highly transformational, enabling innovation at scale, and autonomous decision-making in various application domains such as healthcare, smart homes, smart buildings, smart cities, energy, agriculture, transportation and autonomous vehicles, the military, logistics and supply chain, retail and wholesale, manufacturing, mining and oil and gas.
Business Analytics by Thomas W. Jackson,Steven Lockwood Pdf
This innovative new textbook, co-authored by an established academic and a leading practitioner, is the first to bring together issues of cloud computing, business intelligence and big data analytics in order to explore how organisations use cloud technology to analyse data and make decisions. In addition to offering an up-to-date exploration of key issues relating to data privacy and ethics, information governance, and the future of analytics, the text describes the options available in deploying analytic solutions to the cloud and draws on real-world, international examples from companies such as Rolls Royce, Lego, Volkswagen and Samsung. Combining academic and practitioner perspectives that are crucial to the understanding of this growing field, Business Analytics acts an ideal core text for undergraduate, postgraduate and MBA modules on Big Data, Business and Data Analytics, and Business Intelligence, as well as functioning as a supplementary text for modules in Marketing Analytics. The book is also an invaluable resource for practitioners and will quickly enable the next generation of 'Information Builders' within organisations to understand innovative cloud based-analytic solutions.
The radical transformations to which the economy and society have been subjected for decades have gained momentum in recent years, not least because of the coronavirus pandemic, the consequences of which are yet to be fully understood. As a result, certain economic models and business practices are becoming less sustainable. One of the reasons for this is the rapid advance of Revolution 4.0. The issues raised in this book are central to understanding the theoretical and practical aspects of the Fourth Industrial Revolution and its overwhelming impact on emerging socio-economic relations. The book addresses the future and flexibility of the labour market in the era of digital transformation; issues related to the emergence of new patterns of production and the distribution of public services. It examines the impact of Revolution 4.0 on the global business services sector and business project management models, in times of increasing complexity. The book covers a broad spectrum of concerns associated with Industry 4.0, such as social, economic, technological, and environmental, making it a comprehensive resource offering state-of-the-art knowledge. Further, it includes a discussion on the perspectives for the development of Revolution 4.0 in the context of the post-pandemic world. This book skillfully combines theoretical considerations with practical applications, offering a valuable, engaging and accessible resource for researchers, scholars, students, policymakers, public decision-makers, and businesspeople alike.
The Internet of Things, revised and updated edition by Samuel Greengard Pdf
A guided tour of the rapidly evolving networked world of connected devices, objects, and people that is changing the way we live and work. Since the publication of the original edition of this volume in the MIT Press Essential Knowledge series, the Internet of Things (IoT) has evolved from a novelty (look! my phone connects to my lamp!) to a mainstream technology framework that we rely on every day to accomplish many tasks. This revised and updated edition reports on the latest developments in this rapidly evolving networked world of connected devices, objects, and people that is changing the way we live and work. Business and technology writer Samuel Greengard takes us on a guided tour of the IoT, describing smart lightbulbs, sensors in phones that trigger earthquake warnings, 3D headsets that connect users to business expos through completely immersive virtual reality environments, and more. He offers a clear explanation of the technology that builds and manages the IoT and examines the growing array of consumer devices now available, from smart door locks to augmented reality fitting rooms. Greengard also shows how the IoT is part of the Fourth Industrial Revolution, which is transforming business through smart manufacturing, end-to-end supply chain visibility, integrated artificial intelligence, and much more. He considers risks associated with the IoT, including threats to free speech, growing inequality, and an increase in cybercrime. Finally, he takes a look at the future of a hyperconnected world and what it means to people and human interaction.
IoT-Based Data Analytics for the Healthcare Industry by Sanjay Kumar Singh,Ravi Shankar Singh,Anil Kumar Pandey,Sandeep S Udmale,Ankit Chaudhary Pdf
IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand. Provides state-of-art methods and current trends in data analytics for the healthcare industry Addresses the top concerns in the healthcare industry using IoT and data analytics, and machine learning and deep learning techniques Discusses several potential AI techniques developed using IoT for the healthcare industry Explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages
A Data-centric Internet of Things Framework Based on Public Cloud by Yu Liu Pdf
The pervasive application of Internet of Things (IoT) has been seen in many aspects in human daily life and industrial production. The concept of IoT originates from traditional machine-to-machine (M2M) communications which aimed at solving domain-specific and applicationspecific problems. Today, the rapid progress of communication technologies, the maturation of Internet infrastructures, the continuously reduced cost of sensors, and emergence of more open standards, have witnessed the approaching of the expected IoT era, which envisions full connectivity between the physical world and the digital world via the Internet protocol. The popularity of cloud computing technology has enhanced this IoT transform, benefiting from the superior computing capability and flexible data storage, let alone the security, reliability and scalability advantages. However, there are still a series of obstacles confronted by the industry in deployment of IoT services. First, due to the heterogeneity of hardware devices and application scenarios, the interoperability and compatibility between link-layer protocols, sub-systems and back-end services are significantly challenging. Second, the device management requires a uniform scheme to implement the commissioning, communication, authorization and identity management to guarantee security. Last, the heterogeneity of data format, speed and storage mechanism for different services pose a challenge to further data mining. This thesis aims to solve these aforementioned challenges by proposing a data-centric IoT framework based on public cloud platforms. It targets at providing a universal architecture to facilitate the deployment of IoT services in massive IoT and broadband IoT categories. The framework involves three representative communication protocols, namely WiFi, Thread and Lo-RaWAN, to enable support for local, personal, and wide area networks. A security assessment taxonomy for wireless communications in building automation networks is proposed as a tool to evaluate the security performance of adopted protocols, so as to mitigate potential network flaws and guarantee the security. Azure cloud platform is adopted in the framework to provide device management, data processing and storage, visualization, and intelligent services, thanks to the mature cloud infrastructure and the uniform device model and data model. We also exhibit the value of the study by applying the framework into the digitalization procedure of the green plant wall industry. Based on the framework, a remote monitoring and management system for green plant wall is developed as a showcase to validate the feasibility. Furthermore, three specialized visualization methods are proposed and a neuron network-based anomaly detection method is deployed in the project, showing the potential of the framework in terms of data analytics and intelligence.
Internet of Things and Data Analytics Handbook by Hwaiyu Geng Pdf
This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text starts with an overview and anatomy of IoT, ecosystem of IoT, communication protocols, networking, and available hardware, both present and future applications and transformations, and business models. The text also addresses big data analytics, machine learning, cloud computing, and consideration of sustainability that are essential to be both socially responsible and successful. Design and implementation processes are illustrated with best practices and case studies in action. In addition, the book: Examines cloud computing, data analytics, and sustainability and how they relate to IoT overs the scope of consumer, government, and enterprise applications Includes best practices, business model, and real-world case studies Hwaiyu Geng, P.E., is a consultant with Amica Research (www.AmicaResearch.org, Palo Alto, California), promoting green planning, design, and construction projects. He has had over 40 years of manufacturing and management experience, working with Westinghouse, Applied Materials, Hewlett Packard, and Intel on multi-million high-tech projects. He has written and presented numerous technical papers at international conferences. Mr. Geng, a patent holder, is also the editor/author of Data Center Handbook (Wiley, 2015).
Emerging Innovation: Business Transformation in the New Normal by Muhammad Usman Tariq, Ph. D., Rommel Pilapil Sergio, Ph. D. Pdf
In Emerging Innovation: Business Transformation in the New Normal, 111 Compact Case Studies, readers are taken on an enlightening journey through the rapidly changing business landscape. This comprehensive collection of compact case studies offers a unique perspective on how companies across various industries have adapted and thrived in the face of unprecedented challenges brought on by the global pandemic. With a sharp focus on innovation, adaptability, and resilience, each case study provides valuable insights into the strategies and tactics employed by businesses to not only survive but also excel in this new normal. The book's 111 compact case studies have been meticulously curated to present a diverse range of sectors, geographic locations, and company sizes, ensuring that readers can relate to and learn from the experiences of others. From leveraging cutting-edge technology and redefining business models, to fostering employee engagement and implementing robust risk management practices, this book is an essential guide intended for business leaders, entrepreneurs, and professionals looking for ways and routes to traverse these uncharted waters and emerge more robust than ever. Whether you are a seasoned executive, an aspiring entrepreneur, or one who is simply curious about the intricacies of business transformation in challenging times, this book is a must-read. Get ready to be inspired, informed, and equipped with the knowledge that will take your organization to soaring heights even amid the uncertainties of the new normal.
Proceedings of International Conference on Recent Innovations in Computing by Yashwant Singh,Pradeep Kumar Singh,Maheshkumar H. Kolekar,Arpan Kumar Kar,Paulo J. Sequeira Gonçalves Pdf
This book features selected papers presented at the 5th International Conference on Recent Innovations in Computing (ICRIC 2022), held on May 13–14, 2022, at the Central University of Jammu, India, and organized by the university’s Department of Computer Science and Information Technology. The conference was hosted in association with ELTE, Hungary; Knowledge University, Erbil; Cyber Security Research Lab and many other national & international partners. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.
Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf
The ubiquity of modern technologies has allowed for increased connectivity between people and devices across the globe. This connected infrastructure of networks creates numerous opportunities for applications and uses. As the applications of the internet of things continue to progress so do the security concerns for this technology. The study of threat prevention in the internet of things is necessary as security breaches in this field can ruin industries and lives. Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines recent developments and emerging trends in security and privacy for the internet of things through new models, practical solutions, and technological advancements related to security. Highlighting a range of topics such as cloud security, threat detection, and open source software, this multi-volume book is ideally designed for engineers, IT consultants, ICT procurement managers, network system integrators, infrastructure service providers, researchers, academics, and professionals interested in current research on security practices pertaining to the internet of things.
Handbook of Research on Principles and Practices for Orchards Management by Abobatta, Waleed Fouad,Farag, Ahmed,Abdel-Raheem, Mohamed Pdf
As orchards are faced with different challenges such as production and the growing global population, there is a need to update and understand the principles and practices for successful orchard management to increase food productivity. The economics of cultivation, irrigated agriculture, and smart agriculture are important topics in precision agriculture that relate to these various challenges and must be studied further. Additionally, technologies have played a key role in promoting the development of orchards and new strategies have led to substantial improvements in fruit productivity and quality. These strategies and technologies must also be considered in order to ensure a successful future for orchard management. The Handbook of Research on Principles and Practices for Orchards Management aims to improve fruit orchards' productivity by exploring the latest practical research findings in the area and considers the new techniques in various agricultural management practices to improve the growth and productivity of fruit orchards under different biotic and abiotic stresses. Covering topics such as nutrient management, pest control, orchard pruning, and magnetic water, this reference work is ideal for industry professionals, researchers, practitioners, scholars, academicians, instructors, and students.