Inbunden, Engelska, 2028
2 550 kr
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11 produkter
11 produkter
- E-bokPDF, Engelska, 2026
1 155 kr
Läs direkt efter köp
Industry Transformation: Strategies for Digital Innovation and AI Adoption Technologies offers a timely and comprehensive guide to navigating the evolving landscape of digital transformation across industries. As organisations face mounting pressure to adapt to technological disruption and shifting market demands, this timely work provides a strategic framework for integrating artificial intelligence, big data, IoT, blockchain, and cybersecurity into business operations. Drawing on real-world case studies and actionable insights, it bridges the gap between theory and practice, equipping readers with the tools to lead successful digital initiatives.Beyond the technical dimensions, the authors address the ethical and regulatory considerations essential to responsible AI adoption. With a balanced focus on both innovation and human-centric approaches, it empowers executives, managers, policymakers, and academics to foster sustainable growth in the digital age. By synthesising cutting-edge research and industry expertise Industry Transformation serves as an indispensable resource for those seeking to unlock the full potential of digital innovation in their sectors. - Inbunden, Engelska, 2026
1 078 kr
Skickas inom 5-8 vardagar
Industry Transformation: Strategies for Digital Innovation and AI Adoption Technologies offers a timely and comprehensive guide to navigating the evolving landscape of digital transformation across industries. As organisations face mounting pressure to adapt to technological disruption and shifting market demands, this timely work provides a strategic framework for integrating artificial intelligence, big data, IoT, blockchain, and cybersecurity into business operations. Drawing on real-world case studies and actionable insights, it bridges the gap between theory and practice, equipping readers with the tools to lead successful digital initiatives.Beyond the technical dimensions, the authors address the ethical and regulatory considerations essential to responsible AI adoption. With a balanced focus on both innovation and human-centric approaches, it empowers executives, managers, policymakers, and academics to foster sustainable growth in the digital age. By synthesising cutting-edge research and industry expertise Industry Transformation serves as an indispensable resource for those seeking to unlock the full potential of digital innovation in their sectors. - E-bokEngelska, 2026
1 155 kr
Läs direkt efter köp
Industry Transformation: Strategies for Digital Innovation and AI Adoption Technologies offers a timely and comprehensive guide to navigating the evolving landscape of digital transformation across industries. As organisations face mounting pressure to adapt to technological disruption and shifting market demands, this timely work provides a strategic framework for integrating artificial intelligence, big data, IoT, blockchain, and cybersecurity into business operations. Drawing on real-world case studies and actionable insights, it bridges the gap between theory and practice, equipping readers with the tools to lead successful digital initiatives.Beyond the technical dimensions, the authors address the ethical and regulatory considerations essential to responsible AI adoption. With a balanced focus on both innovation and human-centric approaches, it empowers executives, managers, policymakers, and academics to foster sustainable growth in the digital age. By synthesising cutting-edge research and industry expertise Industry Transformation serves as an indispensable resource for those seeking to unlock the full potential of digital innovation in their sectors. - Del 32 - Information Systems Engineering and Management
Emerging Trends in Information System Security Using AI & Data Science for Next-Generation Cyber Analytics
Inbunden, Engelska, 20252 492 kr
Skickas inom 10-15 vardagar
This book is a comprehensive exploration into the intersection of cutting-edge technologies and the critical domain of cybersecurity; this book delves deep into the evolving landscape of cyber threats and the imperative for innovative solutions. From establishing the fundamental principles of cyber security to scrutinizing the latest advancements in AI and machine learning, each chapter offers invaluable insights into bolstering defenses against contemporary threats. Readers are guided through a journey that traverses the realms of cyber analytics, threat analysis, and the safeguarding of information systems in an increasingly interconnected world. With chapters dedicated to exploring the role of AI in securing IoT devices, employing supervised and unsupervised learning techniques for threat classification, and harnessing the power of recurrent neural networks for time series analysis, this book presents a holistic view of the evolving cybersecurity landscape. Moreover, it highlights the importance of next-generation defense mechanisms, such as generative adversarial networks (GANs) and federated learning techniques, in combating sophisticated cyber threats while preserving privacy. This book is a comprehensive guide to integrating AI and data science into modern cybersecurity strategies. It covers topics like anomaly detection, behaviour analysis, and threat intelligence, and advocates for proactive risk mitigation using AI and data science. The book provides practical applications, ethical considerations, and customizable frameworks for implementing next-gen cyber defense strategies. It bridges theory with practice, offering real-world case studies, innovative methodologies, and continuous learning resources to equip readers with the knowledge and tools to mitigate cyber threats. - E-bokEngelska, 2025
3 242 kr
Läs direkt efter köp
This book is a comprehensive exploration into the intersection of cutting-edge technologies and the critical domain of cybersecurity; this book delves deep into the evolving landscape of cyber threats and the imperative for innovative solutions. From establishing the fundamental principles of cyber security to scrutinizing the latest advancements in AI and machine learning, each chapter offers invaluable insights into bolstering defenses against contemporary threats. Readers are guided through a journey that traverses the realms of cyber analytics, threat analysis, and the safeguarding of information systems in an increasingly interconnected world. With chapters dedicated to exploring the role of AI in securing IoT devices, employing supervised and unsupervised learning techniques for threat classification, and harnessing the power of recurrent neural networks for time series analysis, this book presents a holistic view of the evolving cybersecurity landscape. Moreover, it highlights the importance of next-generation defense mechanisms, such as generative adversarial networks (GANs) and federated learning techniques, in combating sophisticated cyber threats while preserving privacy. This book is a comprehensive guide to integrating AI and data science into modern cybersecurity strategies. It covers topics like anomaly detection, behaviour analysis, and threat intelligence, and advocates for proactive risk mitigation using AI and data science. The book provides practical applications, ethical considerations, and customizable frameworks for implementing next-gen cyber defense strategies. It bridges theory with practice, offering real-world case studies, innovative methodologies, and continuous learning resources to equip readers with the knowledge and tools to mitigate cyber threats.
- Del 32 - Information Systems Engineering and Management
Emerging Trends in Information System Security Using AI & Data Science for Next-Generation Cyber Analytics
Häftad, Engelska, 20262 492 kr
Skickas inom 10-15 vardagar
This book is a comprehensive exploration into the intersection of cutting-edge technologies and the critical domain of cybersecurity; this book delves deep into the evolving landscape of cyber threats and the imperative for innovative solutions. From establishing the fundamental principles of cyber security to scrutinizing the latest advancements in AI and machine learning, each chapter offers invaluable insights into bolstering defenses against contemporary threats. Readers are guided through a journey that traverses the realms of cyber analytics, threat analysis, and the safeguarding of information systems in an increasingly interconnected world. With chapters dedicated to exploring the role of AI in securing IoT devices, employing supervised and unsupervised learning techniques for threat classification, and harnessing the power of recurrent neural networks for time series analysis, this book presents a holistic view of the evolving cybersecurity landscape. Moreover, it highlights the importance of next-generation defense mechanisms, such as generative adversarial networks (GANs) and federated learning techniques, in combating sophisticated cyber threats while preserving privacy. This book is a comprehensive guide to integrating AI and data science into modern cybersecurity strategies. It covers topics like anomaly detection, behaviour analysis, and threat intelligence, and advocates for proactive risk mitigation using AI and data science. The book provides practical applications, ethical considerations, and customizable frameworks for implementing next-gen cyber defense strategies. It bridges theory with practice, offering real-world case studies, innovative methodologies, and continuous learning resources to equip readers with the knowledge and tools to mitigate cyber threats. - Inbunden, Engelska, 2025
2 923 kr
Skickas inom 5-8 vardagar
- Häftad, Engelska, 2025
2 438 kr
Skickas inom 5-8 vardagar
- Häftad, Engelska, 2025
593 kr
Skickas inom 3-6 vardagar
Explore the intersection between unmanned aerial vehicles (UAVs) and the evolving landscape of smart cities. With the increasing integration of technology into urban environments, there is a growing need to understand how UAV swarms can contribute to the safety, efficiency, and resilience of these complex urban ecosystems. The book aims to provide a technical understanding of UAV swarms and their applications within the context of smart cities. It begins by laying the groundwork with an introduction to UAV swarms and smart cities, establishing the foundational concepts and motivations behind their integration. As the book progresses, it delves into various aspects of smart cities, exploring concepts, technologies, and challenges inherent in their development and operation. This includes discussions on cloud computing, cybersecurity, machine learning applications, surveillance and monitoring systems, urban planning, and infrastructure management. It also examines the integration of IoT devices with UAV swarms, highlighting the synergies between these emerging technologies and their potential impact on urban environments.The book examines cutting-edge topics such as edge computing, blockchain applications, 5G integration, and augmented reality/virtual reality (AR/VR) visualization techniques in the context of UAV swarm operations. It concludes with reflections on innovations and future directions, offering insights into the evolving landscape of UAV swarm technologies and their implications for the protection and advancement of smart cities. The book serves as a comprehensive guide for researchers, practitioners, and policymakers interested in understanding the technical, social, and economic dimensions of UAV swarm technology within the context of smart city development and management.What You Will LearnIdentify practical applications of UAV swarms in surveillance monitoring, urban planning, disaster management, and infrastructure resilienceGain comprehensive understanding of UAV swarms by exploring diverse disciplinesApply insights from emerging technologies like cloud computing, machine learning, blockchain, IoT devices, and so on to UAV swarm technology Who Is This Book ForThis book appeals to a wide range of readers with different interests and backgrounds, including researchers, policymakers, industry stakeholders, practitioners, experts, and general fans who are curious in the confluence of smart cities with UAV swarm technologies with little to no experience or knowledge of UAV swarms. - E-bokEngelska, 2025
877 kr
Läs direkt efter köp
Explore the intersection between unmanned aerial vehicles (UAVs) and the evolving landscape of smart cities. With the increasing integration of technology into urban environments, there is a growing need to understand how UAV swarms can contribute to the safety, efficiency, and resilience of these complex urban ecosystems. The book aims to provide a technical understanding of UAV swarms and their applications within the context of smart cities.
It begins by laying the groundwork with an introduction to UAV swarms and smart cities, establishing the foundational concepts and motivations behind their integration. As the book progresses, it delves into various aspects of smart cities, exploring concepts, technologies, and challenges inherent in their development and operation. This includes discussions on cloud computing, cybersecurity, machine learning applications, surveillance and monitoring systems, urban planning, and infrastructure management. It also examines the integration of IoT devices with UAV swarms, highlighting the synergies between these emerging technologies and their potential impact on urban environments.
The book examines cutting-edge topics such as edge computing, blockchain applications, 5G integration, and augmented reality/virtual reality (AR/VR) visualization techniques in the context of UAV swarm operations. It concludes with reflections on innovations and future directions, offering insights into the evolving landscape of UAV swarm technologies and their implications for the protection and advancement of smart cities.
The book serves as a comprehensive guide for researchers, practitioners, and policymakers interested in understanding the technical, social, and economic dimensions of UAV swarm technology within the context of smart city development and management.
What You Will Learn
Identify practical applications of UAV swarms in surveillance monitoring, urban planning, disaster management, and infrastructure resilience
Gain comprehensive understanding of UAV swarms by exploring diverse disciplines
Apply insights from emerging technologies like cloud computing, machine learning, blockchain, IoT devices, and so on to UAV swarm technology
Who Is This Book For
This book appeals to a wide range of readers with different interests and backgrounds, including researchers, policymakers, industry stakeholders, practitioners, experts, and general fans who are curious in the confluence of smart cities with UAV swarm technologies with little to no experience or knowledge of UAV swarms.
