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Author: Dirk Slama
Publisher: Springer
ISBN: 9783030882204
Category : Computers
Languages : en
Pages : 0
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Book Description
This open access book is a practitioner's guide to smart, connected products and solutions. As a hands-on playbook, it combines the business and technical execution perspectives to help product companies, OEMs, manufacturers and equipment operators utilize the full potential of digital enablers, especially Artificial Intelligence (AI), Internet of Things (IoT) and Digital Twins. The Digital Playbook provides comprehensive and actionable guidance, helping to address the challenges of creating sustainable and scalable digital business models, managing cocreation and sourcing, setting up the digital organization, and handling the legal aspects. For the technical execution perspective, the playbook includes the AIoT Framework, which explains how to combine data science and AI engineering with Digital Twins, as well as software development for cloud and edge. The integration with physical product development and retrofit integration of existing equipment is included as well. A pragmatic, agile approach is introduced that takes common agile inhibitors into consideration. A holistic AIoT DevOps approach is described, which combines key elements of DevOps for cloud, edge and AI. Enterprise readiness is ensured by looking at trust and security as well as reliability and resilience for AIoT. A large number of real-world examples and case studies help ensure practical relevance. Readers should have a previous, general understanding of digital strategies and technologies. This book offers readers a clear understanding of the opportunities, as well as the challenges related to building and operating smart, connected products and solutions. They are given a set of tools and blueprints, which they can apply to their practical work in this space.
Author: Dirk Slama
Publisher: Springer
ISBN: 9783030882204
Category : Computers
Languages : en
Pages : 0
Get Book
Book Description
This open access book is a practitioner's guide to smart, connected products and solutions. As a hands-on playbook, it combines the business and technical execution perspectives to help product companies, OEMs, manufacturers and equipment operators utilize the full potential of digital enablers, especially Artificial Intelligence (AI), Internet of Things (IoT) and Digital Twins. The Digital Playbook provides comprehensive and actionable guidance, helping to address the challenges of creating sustainable and scalable digital business models, managing cocreation and sourcing, setting up the digital organization, and handling the legal aspects. For the technical execution perspective, the playbook includes the AIoT Framework, which explains how to combine data science and AI engineering with Digital Twins, as well as software development for cloud and edge. The integration with physical product development and retrofit integration of existing equipment is included as well. A pragmatic, agile approach is introduced that takes common agile inhibitors into consideration. A holistic AIoT DevOps approach is described, which combines key elements of DevOps for cloud, edge and AI. Enterprise readiness is ensured by looking at trust and security as well as reliability and resilience for AIoT. A large number of real-world examples and case studies help ensure practical relevance. Readers should have a previous, general understanding of digital strategies and technologies. This book offers readers a clear understanding of the opportunities, as well as the challenges related to building and operating smart, connected products and solutions. They are given a set of tools and blueprints, which they can apply to their practical work in this space.
Author: Dirk Slama
Publisher: Springer Nature
ISBN: 3030882217
Category : Electronic books
Languages : en
Pages : 413
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Book Description
Author: Rezaei, Sajad
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 387
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Book Description
In the dynamic intersection of cutting-edge technology and evolving business strategies, the fusion of Artificial Intelligence (AI) and the Internet of Things (IoT) has given rise to a revolutionary paradigm known as Artificial Intelligence of Things (AIoT). This emerging technological powerhouse offers boundless possibilities while presenting formidable challenges, and organizations worldwide are wrestling with its integration into their core operations. Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition introduces the fundamental concepts underpinning AIoT integration and the evolving landscape of AIoT research and development, then delves deep into the theoretical foundations of AIoT, examining it through the lenses of economics, behavioral science, technology, psychology, and organizational theory. Within its pages, readers will discover insights into the tools, methods, design factors, user interfaces, and techniques driving AIoT innovation.
Author: Kashif Naseer Qureshi
Publisher: CRC Press
ISBN: 1003854273
Category : Computers
Languages : en
Pages : 272
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Book Description
This book is devoted to the new standards, technologies, and communication systems for Artificial Intelligence of Things (AIoT) networks. Smart and intelligent communication networks have gained significant attention due to the combination of AI and IoT networks to improve human and machine interfaces and enhance data processing and services. AIoT networks involve the collection of data from several devices and sensor nodes in the environment. AI can enhance these networks to make them faster, greener, smarter, and safer. Computer vision, language processing, and speech recognition are some examples of AIoT networks. Due to a large number of devices in today’s world, efficient and intelligent data processing is essential for problem-solving and decision-making. AI multiplies the value of these networks and promotes intelligence and learning capabilities, especially in homes, offices, and cities. However, several challenges have been observed in deploying AIoT networks, such as scalability, complexity, accuracy, and robustness. In addition, these networks are integrated with cloud, 5G networks, and blockchain methods for service provision. Many different solutions have been proposed to address issues related to machine and deep learning methods, ontology-based approaches, genetic algorithms, and fuzzy-based systems. This book aims to contribute to the state of the art and present current standards, technologies, and approaches for AIoT networks. This book focuses on existing solutions in AIoT network technologies, applications, services, standards, architectures, and security provisions. This book also introduces some new architectures and models for AIoT networks.
Author: Ashley Dudarenok
Publisher: Alarice International Limited
ISBN: 988768953X
Category : Business & Economics
Languages : en
Pages : 78
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Book Description
The criticism of China used to be that it was good at manufacturing but not at innovating. It has now proven those critics wrong. On top of that, some of its companies have developed cutting edge management approaches. We look at what’s behind China’s digital transformation, its unique e-commerce to see what Western brands can learn from China. In this book you’ll learn: How China got to its current stage of digital transformation How Chinese brands optimize e-commerce and digital marketing What highly effective management approaches Chinese companies have used to ramp up profit and turn around failing enterprises Here's what's inside: Chapter 1 What’s Behind China’s Innovation? Chapter 2 A Closer Look at China’s Digital Development I Customer-centric Ecosystems Chapter 3 China’s Tech Giant Transformation II The Future of Retail: What DTC Brands Can Learn from China Chapter 4 Mobile First Chapter 5 The Impact of Social Commerce Chapter 6 Online Merge Offline (OMO) Chapter 7 The Human Touch: Last Mile Delivery, QR Codes and CRM III Innovative Management Models Chapter 8 Management and Leadership Models from China Chapter 9 What China Can Learn From the World Chapter 10 Learning Together "Successful Chinese startups prioritize adaptability, quick production, and deep investment in influencer marketing while overseas brands often opt for a more organic strategy, risking missed growth and copycat challenges." — Tingyi (Jenny) Chen, Co-founder of Walk the Chat “Social new retail, combining social media, e-commerce and offline retail provides seamless consumer experiences and growth opportunities for retailers. As AI progresses, it will further improve the social new retail experience in China.” — Sandrine Zerbib, Founder & Chairwoman of Full Jet & President of Baozun Brand Management
Author: Fadi Al-Turjman
Publisher: Springer
ISBN: 3030041107
Category : Technology & Engineering
Languages : en
Pages : 231
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Book Description
This book provides an insight into IoT intelligence in terms of applications and algorithmic challenges. The book is dedicated to addressing the major challenges in realizing the artificial intelligence in IoT-based applications including challenges that vary from cost and energy efficiency to availability to service quality in multidisciplinary fashion. The aim of this book is hence to focus on both the algorithmic and practical parts of the artificial intelligence approaches in IoT applications that are enabled and supported by wireless sensor networks and cellular networks. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent wireless/wired enabling technologies. Includes the most up-to-date research and applications related to IoT artificial intelligence (AI); Provides new and innovative operational ideas regarding the IoT artificial intelligence that help advance the telecommunications industry; Presents AI challenges facing the IoT scientists and provides potential ways to solve them in critical daily life issues.
Author: John Arnott
Publisher:
ISBN: 9781961781061
Category :
Languages : en
Pages : 0
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Book Description
This comprehensive guide provides executives and business leaders practical frameworks and insights for successfully implementing artificial intelligence (AI) technologies in their organizations. The book enables enterprises to harness the transformative capabilities of AI to drive innovation, unlock new opportunities, and gain competitive advantage. The author draws from years of research and real-world experience to outline a strategic approach for enterprise AI adoption. The book covers critical topics such as clearly defining business objectives, assessing organizational readiness, developing robust data strategies, implementing ethical and responsible AI, changing management considerations, and continuously optimizing AI solutions. Detailed chapters explore the application of AI across various organizational functions, including human resources, marketing, customer service, supply chain, manufacturing, finance, and more. Real-world case studies and examples demonstrate the tangible benefits unlocked by organizations leveraging AI technologies. Additional chapters provide forward-looking insights into emerging AI trends, technologies, and applications. Written clearly and accessibly, this book serves as an indispensable guide for business leaders, executives, managers, and practitioners looking to leverage AI to transform their organizations. It provides the strategic clarity required to navigate the complexities of enterprise-scale AI implementation, unlock new sources of innovation and efficiency, and position organizations for resounding success in the age of artificial intelligence.
Author: Amin Ansary
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
In the dynamic intersection of cutting-edge technology and evolving business strategies, the fusion of Artificial Intelligence (AI) and the Internet of Things (IoT) has given rise to a revolutionary paradigm known as Artificial Intelligence of Things (AIoT). This emerging technological powerhouse offers boundless possibilities while presenting formidable challenges, and organizations worldwide are wrestling with its integration into their core operations. Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition delves into this transformative synergy between AI and IoT. This book explores the multifaceted dimensions of AIoT across varied domains, ranging from education to marketing, hospitality to logistics, and beyond. It sheds light on how this cutting-edge technology is reshaping the very essence of organizations, and provides strategic tools to enhance value chain processes. Readers will encounter a meticulous examination of the pivotal role played by AIoT in addressing technical challenges within organizations, all while raising crucial concerns and risks that resonate throughout societies. AIoT's impact is monumental, empowering organizations to elevate productivity by extending its reach into the products and services they offer. The book uncovers strategic decisions regarding AIoT deployment, offering insights into how business leaders can harness this technological juggernaut to enhance communication, information flow, and stakeholder relationships for sustained productivity and strategic success. This book introduces the fundamental concepts underpinning AIoT integration and the evolving landscape of AIoT research and development, then delves deep into the theoretical foundations of AIoT, examining it through the lenses of economics, behavioral science, technology, psychology, and organizational theory. Within its pages, readers will discover insights into the tools, methods, design factors, user interfaces, and techniques driving AIoT innovation. This comprehensive work is destined to be an indispensable resource for researchers, business leaders, educators, e-commerce managers, business analysts, and students across a spectrum of disciplines. Entrepreneurs and technology developers will also find it an invaluable guide as they navigate the ever-evolving landscape of AIoT.
Author: Mazin Gilbert
Publisher: CRC Press
ISBN: 1351130145
Category : Computers
Languages : en
Pages : 498
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Book Description
Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting opportunities to integrate those two worlds. Outlining the new frontiers for autonomous networks, this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation, cyber security, enterprise services, 5G and IoT, infrastructure monitoring and traffic optimization, and finally, customer experience and care. With contributions from leading experts, this book will provide an invaluable resource for network engineers, software engineers, artificial intelligence, and machine learning researchers.
Author: Jawad Rasheed
Publisher: Springer
ISBN: 9783031628702
Category : Computers
Languages : en
Pages : 0
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Book Description
This book introduces a groundbreaking approach to enhancing IoT device security, providing a comprehensive overview of its applications and methodologies. Covering a wide array of topics, from crime prediction to cyberbullying detection, from facial recognition to analyzing email spam, it addresses diverse challenges in contemporary society. Aimed at researchers, practitioners, and policymakers, this book equips readers with practical tools to tackle real-world issues using advanced machine learning algorithms. Whether you're a data scientist, law enforcement officer, or urban planner, this book is a valuable resource for implementing predictive models and enhancing public safety measures. It is a comprehensive guide for implementing machine learning solutions across various domains, ensuring optimal performance and reliability. Whether you're delving into IoT security or exploring the potential of AI in urban landscapes, this book provides invaluable insights and tools to navigate the evolving landscape of technology and data science. The book provides a comprehensive overview of the challenges and solutions in contemporary cybersecurity. Through case studies and practical examples, readers gain a deeper understanding of the security concerns surrounding IoT devices and learn how to mitigate risks effectively. The book's interdisciplinary approach caters to a diverse audience, including academics, industry professionals, and government officials, who seek to address the growing cybersecurity threats in IoT environments. Key uses of this book include implementing robust security measures for IoT devices, conducting research on machine learning algorithms for attack detection, and developing policies to enhance cybersecurity in IoT ecosystems. By leveraging advanced machine learning techniques, readers can effectively detect and mitigate cyber threats, ensuring the integrity and reliability of IoT systems. Overall, this book is a valuable resource for anyone involved in designing, implementing, or regulating IoT devices and systems.
