Digital Business Ecosystem Patterns Architecture Blueprints For Applying Iot Blockchain And Data Analytics To Achieve Business Outcomes

These are both exciting and challenging times for today's business leaders. Advances in information technology (IT) have enabled new business capabilities that are stretching the limits of our imaginations. Robots, artificial intelligence (AI), drones and autonomous cars are part of our common vocabulary. The latest technologies, including the Internet of Things (IoT), blockchain, and machine learning are expected to transform many industries. Anticipated business outcomes include new revenue streams, reduced operating costs and more intimate customer relationships. The possibilities are endless, but for many organizations their digital business transformation is inhibited by: -Too much focus on technology and not enough on the business problem being solved. -High complexity of coordinating diverse technologies with multiple layers and integration points.-Weak foundations to build upon, including outdated legacy technologies and lack of skills. As the pace of innovation speeds up, new strategies are needed to succeed in the next big wave of business and technology change.This book identifies a fundamental change in how business systems are developed - describing an ecosystems approach for digital business solutions. It addresses the gap between the promise of new technology and its practical application.-It helps CEOs, CIO/CTOs, and Enterprise Architects develop a strategy for digital business leveraging today's advanced technologies like IoT, blockchain, and AI / machine learning.-It identifies how traditional organizations can leverage their current IT investments and partner with innovative start-ups to fill capability gaps.-It provides IT governance and security professionals with practical guidance for managing the risks of digital business.This book provides a catalog of digital business ecosystem patterns that address 10 common business problems faced by asset-intensive organizations including: asset tracking, asset maintenance, performance monitoring, usage metering, automated inspections, dynamic marketplaces, alternative payment mechanisms, and the use of autonomous vehicles. The patterns are also applicable to delivering large-scale ecosystem solutions for smart city, smart farm, advanced health care, and modern factory initiatives.

Business approaches in today’s society have become technologically-driven and highly-applicable within various professional fields. These business practices have transcended traditional boundaries with the implementation of internet technology, making it challenging for professionals outside of the business world to understand these advancements. Interdisciplinary research on business technology is required to better comprehend its innovations. Interdisciplinary Approaches to Digital Transformation and Innovation provides emerging research exploring the complex interconnections of technological business practices within society. This book will explore the practical and theoretical aspects of e-business technology within the fields of engineering, health, and social sciences. Featuring coverage on a broad range of topics such as data monetization, mobile commerce, and digital marketing, this book is ideally designed for researchers, managers, students, engineers, computer scientists, economists, technology designers, information specialists, and administrators seeking current research on the application of e-business technologies within multiple fields.

The design of digital solutions has become a pressing concern for practitioners faced with a plethora of technology impacting their business. From cloud computing to social networks, mobile computing and big data, to the emerging of Internet of things, all of which are changing how enterprise products, services, rooms and buildings are connected to the wider ecosystem of networks and services. This book defines digital ecosystems with examples from real industry cases and explores how enterprise architecture is evolving to enable physical and virtual, social, and material object collaboration and experience. The key topics covered include: Concepts of digitization Types of technological ecosystems Architecting digital workspaces Principles of architecture design Examples architecting digital business models Examples of digital design patterns Methods of monetization Conclusions

This book analyzes the effects of the latest technological advances in blockchain and artificial intelligence (AI) on business operations and strategies. Adopting an interdisciplinary approach, the contributions examine new developments that change the rules of traditional management. The chapters focus mainly on blockchain technologies and digital business in the "Industry 4.0" context, covering such topics as accounting, digitalization and use of AI in business operations and cybercrime. Intended for academics, blockchain experts, students and practitioners, the book helps business strategists design a path for future opportunities.

Apply modern architectural patterns and techniques to achieve scalable, resilient, and secure intelligent IoT solutions built for manufacturing, consumer, agriculture, smart cities, and other domains Key Features Get empowered to quickly develop IoT solutions using listed patterns and related guidance Learn the applications of IoT architectural patterns in various domains through real-world case studies Explore sensor and actuator selection, analytics, security, and emerging tools for architecting IoT systems Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs the Internet of Things (IoT) expands and moves to new domains, architectural patterns need to enable faster digital transformation and more uniform development. Through numerous use cases and examples, this book helps you conceptualize and implement IoT architectural patterns and use them in diverse contexts in real-world scenarios. The book begins by introducing you to a variety of IoT architectural patterns and then helps you understand how they are used in domains such as retail, smart manufacturing, consumer, smart cities, and smart agriculture. You’ll also find out how cross-cutting concerns such as security require special considerations in the IoT context. As you advance, you’ll discover all the nuances that are inherent in each layer of IoT reference architecture, including considerations related to analytics for edge/constrained devices, data visualizations, and so on. In the concluding chapters, you’ll explore emerging technologies such as blockchain, 3D printing, 5G, generative AI, quantum computing, and large language models (LLMs) that enhance IoT capabilities to realize broader applications. By the end of this book, you’ll have learned to architect scalable, secure, and unique IoT solutions in any domain using the power of IoT architectural patterns, and you will be able to avoid the pitfalls that typically derail IoT projects.What you will learn Get to grips with the essentials of different architectural patterns and anti-patterns Discover the underlying commonalities in diverse IoT applications Combine patterns from physical and virtual realms to develop innovative applications Choose the right set of sensors and actuators for your solution Explore analytics-related tools and techniques such as TinyML and sensor fusion Overcome the challenges faced in securing IoT systems Leverage use cases based on edge computing and emerging technologies such as 3D printing, 5G, generative AI, and LLMs Who this book is forThis book is for IoT systems and solutions architects as well as other IoT practitioners, such as developers and both technical program and pre-sales managers who are interested in understanding how various IoT architectural patterns and techniques can be applied to developing unique and diverse IoT solutions. Prior knowledge of IoT fundamental concepts and its application areas is helpful but not mandatory.

This book focuses on the fundamentals of blockchain technology along with the means and methods of its integration with Internet of Things (IoT). The book allows the reader to have a deeper understanding of blockchain technology, IoT and various application areas wherein both technologies can be implemented. The book serves the purpose of providing knowledge about the fundamentals of blockchain and IoT to a common reader along with allowing a research scholar to identify some futuristic problem areas that emerge from the convergence of both technologies. Furthermore, the authors discuss relevant application areas such as smart city, e-healthcare, smart travel, etc. throughout the course of the book. The book also talks through a few case studies illustrating the implementation and benefits of using blockchain and IoT. Provides a comprehensive view of blockchain technology and its integration with IoT; Facilitates in having a valuable understanding of various application areas pertaining to blockchain and IoT; Assists the reader in exploring new research areas wherein blockchain and IoT can find their applicability based upon their list of benefits.

This new volume explores a plethora of blockchain-based solutions for big data and IoT applications, looking at advances in real-world applications in several sectors, including higher education, cybersecurity, agriculture, business and management, healthcare and biomedical science, construction and project management, smart city development, and others. Chapters explore emerging technology to combat the ever-increasing threat of security to computer systems and offer new architectural solutions for problems encountered in data management and security. The chapters help to provide a high level of understanding of various blockchain algorithms along with the necessary tools and techniques. The novel architectural solutions in the deployment of blockchain presented here are the core of the book.

The convergence of Internet of Things (IoT) technology and blockchain offers transformative potential for the development of smart cities, enhancing industry operations and healthcare systems. IoT devices generate vast amounts of data to optimize urban infrastructure and improve service delivery, while blockchain provides a secure, transparent framework for managing data. Across industries, this collaboration leads to smarter manufacturing processes and efficient logistics. In healthcare, it enhances patient care through secure data sharing and streamlined administrative processes. A concerted effort to address these technical, regulatory, and ethical challenges is crucial for effective and responsible integration of IoT and blockchain in smart cities for improved urban living and healthcare services. Applying Internet of Things and Blockchain in Smart Cities: Industry and Healthcare Perspectives explores the application of IoT and blockchain technology for smart city integration in healthcare industries and business processes. It offers solutions for this effective convergence, through aspects like cloud and digital technology, or security and privacy practices. This book covers topics such as machine learning, energy management, and wearable devices, and is a useful resource for business owners, computer engineers, agriculturalists, security professionals, healthcare workers, academicians, researchers, and scientists.

Implement a standardized end-to-end IoT implementation based on best practices and proven successes in IoT across multiple industries. With this book you'll discover the three business strategies for enterprises to adopt and remain relevant in the marketspace -the Customer Engagement strategy, the Business Transformation strategy, and the Business Productivity Improvement strategy. Pick the right strategy for your enterprise to ensure a clear mission and vision is established based on which IoT roadmap can be defined. Subsequently all business processes pertaining to the chosen business strategy are investigated to define use cases where IoT can be adopted to achieve that business strategy. Start by learning the generic industry perspective on digital transformation using IoT. Then move on to the IoT Standards Reference Model. It's an abstract framework consisting of an interlinked set of clearly defined components for enterprises to successfully implement an IoT solution. The IoT Standards Reference Model can be applied for IoT use cases across any industry and is kept abstract in order to enable many, potentially different, IoT architectures to be implemented based on the model. With IoT thoroughly covered, you'll dive into Blockchain and AI technology. This book will discuss the importance of using private blockchains for IoT use cases. You'll also discover the five IoT-Blockchain implementation patterns that enterprises can enable for seamless communication between IoT devices, IoT Smart Gateways, and IoT platforms. These patterns help achieve trust, interoperability, and extendibility. Then you'll work with AI and the IoT Standards Reference Model. The reference model recommends applying AI patterns to generate insights from data and take appropriate actions automatically. IoT Standards with Blockchain also provides perspective on how and when to apply AI in an IoT Context. In the end, you'll have a solid methodology to execute large scale, enterprise-level IoT implementations. You'll have an enterprise digital transformation framework for IoT that will enable your enterprise to operate better. You will: Facilitate IoT interoperability with best practices Implement IoT platform security Feed data and analytics to AI models.

This book reviews research works in recent trends in blockchain, AI, and Digital Twin based IoT data analytics approaches for providing the privacy and security solutions for Fog-enabled IoT networks. Due to the large number of deployments of IoT devices, an IoT is the main source of data and a very high volume of sensing data is generated by IoT systems such as smart cities and smart grid applications. To provide a fast and efficient data analytics solution for Fog-enabled IoT systems is a fundamental research issue. For the deployment of the Fog-enabled-IoT system in different applications such as healthcare systems, smart cities and smart grid systems, security, and privacy of big IoT data and IoT networks are key issues. The current centralized IoT architecture is heavily restricted with various challenges such as single points of failure, data privacy, security, robustness, etc. This book emphasizes and facilitates a greater understanding of various security and privacy approaches using the advances in Digital Twin and Blockchain for data analysis using machine/deep learning, federated learning, edge computing and the countermeasures to overcome these vulnerabilities.