Narasimha Rao Vajjhala - Böcker

This book is aimed at managerial decision makers, practitioners in any field, and the academic community. The chapter authors have integrated theory with evidence-based practice to go beyond merely explaining cybersecurity topics. To accomplish this, the editors drew upon the combined cognitive intelligence of 46 scholars from 11 countries to present the state of the art in cybersecurity. Managers and leaders at all levels in organizations around the globe will find the explanations and suggestions useful for understanding cybersecurity risks as well as formulating strategies to mitigate future problems. Employees will find the examples and caveats both interesting as well as practical for everyday activities at the workplace and in their personal lives. Cybersecurity practitioners in computer science, programming, or espionage will find the literature and statistics fascinating and more than likely a confirmation of their own findings and assumptions. Government policymakers will find the book valuable to inform their new agenda of protecting citizens and infrastructure in any country around the world. Academic scholars, professors, instructors, and students will find the theories, models, frameworks, and discussions relevant and supportive to teaching as well as research.

This book is aimed at managerial decision makers, practitioners in any field, and the academic community. The chapter authors have integrated theory with evidence-based practice to go beyond merely explaining cybersecurity topics. To accomplish this, the editors drew upon the combined cognitive intelligence of 46 scholars from 11 countries to present the state of the art in cybersecurity. Managers and leaders at all levels in organizations around the globe will find the explanations and suggestions useful for understanding cybersecurity risks as well as formulating strategies to mitigate future problems. Employees will find the examples and caveats both interesting as well as practical for everyday activities at the workplace and in their personal lives. Cybersecurity practitioners in computer science, programming, or espionage will find the literature and statistics fascinating and more than likely a confirmation of their own findings and assumptions. Government policymakers will find the book valuable to inform their new agenda of protecting citizens and infrastructure in any country around the world. Academic scholars, professors, instructors, and students will find the theories, models, frameworks, and discussions relevant and supportive to teaching as well as research.

This book explores the transformative potential of artificial intelligence (AI) in addressing critical humanitarian challenges. It examines AI’s role in enhancing emergency responses, poverty alleviation, and healthcare.Chapters authored by a diverse group of international contributors cover topics such as AI’s application in disease prediction, ethical AI practices, and innovative resource distribution. This book uniquely blends theoretical insights with practical case studies, providing a road map for leveraging AI in humanitarian efforts. Readers will benefit from detailed explorations of AI’s capabilities and challenges, gaining insights into how AI can drive social change and improve global humanitarian outcomes.Targeted at policymakers, researchers, practitioners, and anyone interested in the intersection of AI and humanitarianism, this book offers valuable perspectives on ensuring AI technologies are both advanced and ethically sound.

This book explores the transformative potential of artificial intelligence (AI) in addressing critical humanitarian challenges. It examines AI’s role in enhancing emergency responses, poverty alleviation, and healthcare.Chapters authored by a diverse group of international contributors cover topics such as AI’s application in disease prediction, ethical AI practices, and innovative resource distribution. This book uniquely blends theoretical insights with practical case studies, providing a road map for leveraging AI in humanitarian efforts. Readers will benefit from detailed explorations of AI’s capabilities and challenges, gaining insights into how AI can drive social change and improve global humanitarian outcomes.Targeted at policymakers, researchers, practitioners, and anyone interested in the intersection of AI and humanitarianism, this book offers valuable perspectives on ensuring AI technologies are both advanced and ethically sound.

This book is essential reading for those in healthcare informatics, as well as healthcare administrators, clinicians, and regulators, as they navigate the evolving landscape of healthcare post-pandemic. —Dr. Steven D. Berkshire, professor and director of the Doctor of Health Administration Program, Central Michigan UniversityThe coronavirus disease 2019 (COVID-19) pandemic brought unprecedented challenges to global healthcare systems, revealing vulnerabilities and pushing the boundaries of healthcare informatics. In response, the rapid adoption of digital tools and innovative technologies reshaped the way healthcare is delivered, managed, and analyzed. This transformation has not only revolutionized patient care but also underscored the importance of adopting new strategies to ensure data security, interoperability, and equitable access to healthcare services.Healthcare Informatics Innovation Post-COVID-19 Pandemic explores the lasting impact of these innovations on the healthcare sector. The book examines the key lessons learned from the pandemic, as well as the challenges and opportunities that have emerged in its wake. It covers a broad range of topics, including telehealth, artificial intelligence (AI), the Internet of Things (IoT), and cybersecurity, and examines the critical role each plays in transforming healthcare delivery.Highlights include:Bridging the digital divide with telehealthAI in post-pandemic healthcareNavigating post-pandemic mental health challenges with AIGenomics and personalized medicineEthics, privacy, and security in healthcare informaticsThe book’s chapters were written by contributors from diverse academic and professional backgrounds.Together, they share their expertise in healthcare, information technology, and policy. Through their insights, the book provides a comprehensive overview of the current state of healthcare informatics and offers a roadmap for future advancements. This book was written to address the growing recognition that healthcare systems worldwide must be resilient, adaptable, and equipped with cutting-edge tools to navigate future public health crises. As healthcare professionals, academics, policymakers, and technologists work together, it is crucial to share knowledge and collaborate on innovative solutions that can sustain the progress made during the pandemic.

This book is essential reading for those in healthcare informatics, as well as healthcare administrators, clinicians, and regulators, as they navigate the evolving landscape of healthcare post-pandemic. —Dr. Steven D. Berkshire, professor and director of the Doctor of Health Administration Program, Central Michigan UniversityThe coronavirus disease 2019 (COVID-19) pandemic brought unprecedented challenges to global healthcare systems, revealing vulnerabilities and pushing the boundaries of healthcare informatics. In response, the rapid adoption of digital tools and innovative technologies reshaped the way healthcare is delivered, managed, and analyzed. This transformation has not only revolutionized patient care but also underscored the importance of adopting new strategies to ensure data security, interoperability, and equitable access to healthcare services.Healthcare Informatics Innovation Post-COVID-19 Pandemic explores the lasting impact of these innovations on the healthcare sector. The book examines the key lessons learned from the pandemic, as well as the challenges and opportunities that have emerged in its wake. It covers a broad range of topics, including telehealth, artificial intelligence (AI), the Internet of Things (IoT), and cybersecurity, and examines the critical role each plays in transforming healthcare delivery.Highlights include:Bridging the digital divide with telehealthAI in post-pandemic healthcareNavigating post-pandemic mental health challenges with AIGenomics and personalized medicineEthics, privacy, and security in healthcare informaticsThe book’s chapters were written by contributors from diverse academic and professional backgrounds.Together, they share their expertise in healthcare, information technology, and policy. Through their insights, the book provides a comprehensive overview of the current state of healthcare informatics and offers a roadmap for future advancements. This book was written to address the growing recognition that healthcare systems worldwide must be resilient, adaptable, and equipped with cutting-edge tools to navigate future public health crises. As healthcare professionals, academics, policymakers, and technologists work together, it is crucial to share knowledge and collaborate on innovative solutions that can sustain the progress made during the pandemic.

In an era where digital transformation is vital across industries, protecting knowledge and information assets has become critical. Cybersecurity in Knowledge Management: Cyberthreats and Solutions explores the intersection of knowledge management and cybersecurity, offering an in-depth examination of the strategies, technologies, and frameworks necessary to safeguard organizational knowledge systems. As cyber threats grow more sophisticated, particularly within sectors such as digital marketing, supply chains, and higher education, this book examines methods for enhancing cybersecurity while maintaining the agility needed to foster innovation. By incorporating perspectives from artificial intelligence, machine learning, and human factors, this work provides a holistic approach to securing knowledge in today’s interconnected landscape.This book includes an analysis of AI and machine learning applications for cybersecurity, a comparative review of malware classification techniques, and real-world case studies illustrating cybersecurity breaches and insider threats affecting knowledge ecosystems. This book addresses unique challenges within the African digital space, explores social engineering tactics, and emphasizes the role of organizational culture in maintaining knowledge security. Key topics include cybersecurity requirements in digital marketing, the post-COVID impact on knowledge transfer in higher education, and the importance of regulatory compliance and cross-industry collaboration.With its multidisciplinary perspective, Cybersecurity in Knowledge Management: Cyberthreats and Solutions is ideal for professionals, researchers, and policymakers. This comprehensive guide equips readers with the insights needed to build resilient cybersecurity programs that protect essential knowledge assets, enabling organizations to meet today’s cybersecurity demands while maintaining a sustainable competitive advantage in an evolving digital environment.

This book examines the transformative potential of integrating explainable artificial intelligence (XAI) and blockchain technology in modern supply chain management.It explores how these innovative technologies address pressing challenges such as data transparency, traceability, fraud prevention, and operational efficiency in complex global supply chains. With detailed analyses, case studies, and real-world applications, these chapters provide insights into leveraging XAI to demystify AI decision-making and blockchain, ensuring data security and decentralized accountability. Key topics include sustainable practices, smart contract automation, and human-centric approaches to enhancing trust and collaboration among stakeholders.This comprehensive volume serves as a valuable resource for academics, industry leaders, and policymakers seeking to harness cutting-edge technologies for building resilient and transparent supply chains.

AI-Enabled Threat Intelligence and Cyber Risk Assessment delves into the transformative potential of artificial intelligence (AI) in revolutionizing cybersecurity, offering a comprehensive exploration of current trends, challenges, and future possibilities in mitigating cyber risks. This book brings together cutting-edge research and practical insights from an international team of experts to examine how AI technologies are reshaping threat intelligence, safeguarding data, and driving digital transformation across industries. The book covers a broad spectrum of topics, including AI-driven fraud prevention in digital marketing, strategies for building customer trust through data privacy, and the role of AI in enhancing educational and healthcare cybersecurity systems. Through in-depth analyses and case studies, this book highlights the barriers to AI adoption, the legal and ethical considerations, and the development of resilient cybersecurity frameworks.Special emphasis is given to regional insights, such as the digital transformation of Kazakh businesses and the integration of AI in diverse global contexts, offering valuable lessons for researchers, policymakers, and practitioners. From safeguarding patient data in healthcare to addressing automated threats in digital marketing, this book provides actionable strategies and emerging perspectives on the evolving landscape of AI in risk management. Designed for academics, professionals, and students, AI-Enabled Threat Intelligence and Cyber Risk Assessment serves as an essential resource for understanding the intersection of AI, cybersecurity, and risk assessment. With contributions from leading researchers across various disciplines, this book underscores the critical role of AI in building resilient, ethical, and innovative solutions to today’s most pressing cybersecurity challenges.

AI-Enabled Threat Intelligence and Cyber Risk Assessment delves into the transformative potential of artificial intelligence (AI) in revolutionizing cybersecurity, offering a comprehensive exploration of current trends, challenges, and future possibilities in mitigating cyber risks. This book brings together cutting-edge research and practical insights from an international team of experts to examine how AI technologies are reshaping threat intelligence, safeguarding data, and driving digital transformation across industries. The book covers a broad spectrum of topics, including AI-driven fraud prevention in digital marketing, strategies for building customer trust through data privacy, and the role of AI in enhancing educational and healthcare cybersecurity systems. Through in-depth analyses and case studies, this book highlights the barriers to AI adoption, the legal and ethical considerations, and the development of resilient cybersecurity frameworks.Special emphasis is given to regional insights, such as the digital transformation of Kazakh businesses and the integration of AI in diverse global contexts, offering valuable lessons for researchers, policymakers, and practitioners. From safeguarding patient data in healthcare to addressing automated threats in digital marketing, this book provides actionable strategies and emerging perspectives on the evolving landscape of AI in risk management. Designed for academics, professionals, and students, AI-Enabled Threat Intelligence and Cyber Risk Assessment serves as an essential resource for understanding the intersection of AI, cybersecurity, and risk assessment. With contributions from leading researchers across various disciplines, this book underscores the critical role of AI in building resilient, ethical, and innovative solutions to today’s most pressing cybersecurity challenges.

This book presents a comprehensive analysis of the transformative impact of artificial intelligence (AI) on legal frameworks within the European Union and beyond. It illustrates both the promising benefits of AI in improving access to justice and the significant challenges that necessitate thoughtful regulatory frameworks and interdisciplinary cooperation.This book highlights the expansive applications of AI, ranging from case management to predictive analytics, while also scrutinizing ethical challenges and legal implications. It addresses the pressing issue of data protection in the context of Generative Pre-trained Transformer (GPT) technology, emphasizing the EU’s commitment to individual privacy rights. This book also evaluates AI’s role in public governance, using Albania as a case study, and examines the potential of blockchain technology in enhancing legal processes. The ethical nuances surrounding AI’s integration into legal systems are critically examined, particularly regarding algorithmic bias and human oversight. This book advocates for a collaborative approach involving legal experts and data scientists to navigate these complexities effectively.This book is a key resource for postgraduate students, researchers, and legal professionals seeking to better understand the benefits and risks of incorporating AI into legal practice.

This book presents a comprehensive analysis of the transformative impact of artificial intelligence (AI) on legal frameworks within the European Union and beyond. It illustrates both the promising benefits of AI in improving access to justice and the significant challenges that necessitate thoughtful regulatory frameworks and interdisciplinary cooperation.This book highlights the expansive applications of AI, ranging from case management to predictive analytics, while also scrutinizing ethical challenges and legal implications. It addresses the pressing issue of data protection in the context of Generative Pre-trained Transformer (GPT) technology, emphasizing the EU’s commitment to individual privacy rights. This book also evaluates AI’s role in public governance, using Albania as a case study, and examines the potential of blockchain technology in enhancing legal processes. The ethical nuances surrounding AI’s integration into legal systems are critically examined, particularly regarding algorithmic bias and human oversight. This book advocates for a collaborative approach involving legal experts and data scientists to navigate these complexities effectively.This book is a key resource for postgraduate students, researchers, and legal professionals seeking to better understand the benefits and risks of incorporating AI into legal practice.

This comprehensive volume examines how artificial intelligence (AI) can either strengthen or undermine democratic society. It introduces groundbreaking frameworks including “AI-Enhanced Reflexive Control” (AIRC), and categorizes vulnerable democracies into three types — underdeveloped, strained, and stressed — each of which facing unique AI-related challenges.Drawing on extensive case studies including Romania’s 2024 election annulment, Bulgaria’s disinformation networks, and democratic innovations in Kenya and the Philippines, contributors analyze AI’s impact across electoral processes, legal systems, and public discourse. The book systematically examines five critical categories of unethical AI applications — disinformation, electoral interference, human rights manipulation, cultural exploitation, and privacy invasion — while exploring AI’s potential as a democratic equalizer.Featuring accessible introductions to AI topics, real-world case studies, and actionable policy recommendations, this volume serves as an essential guide for policymakers, technologists, and those studying AI’s complex relationship with democratic governance.

Healthcare is fundamentally different from other domains where AI has achieved remarkable success. When an AI system recommends a treatment, suggests a diagnosis, or flags a patient for intervention, lives hang in the balance. Healthcare professionals require more than accurate predictions; they need to understand the reasoning behind those predictions. Explainable AI (XAI) provides the transparency necessary to identify and address algorithmic biases that might perpetuate or exacerbate health disparities.This book addresses this critical challenge by exploring the intersection of healthcare informatics and XAI. It brings together diverse perspectives from clinicians, data scientists, ethicists, and healthcare administrators to examine how transparent and interpretable AI systems can enhance medical practice while maintaining the trust and confidence of both healthcare providers and patients. The book not only showcases technological capabilities but also demonstrates how explainability can bridge the gap between AI innovation and clinical reality.Maintaining a balance between technical rigor and practical accessibility, the book presents detailed discussions of explainability techniques including SHAP (SHapley Additive exPlanations), LIME (Local Interpretable Model-agnostic Explanations), and causal inference methods. Case studies and examples demonstrate how different XAI techniques can be selected and tailored based on specific requirements. The book also addresses critical implementation challenges.At the threshold of AI's deeper integration into healthcare, the choices made today about transparency and explainability will shape the future of medicine. This book argues that explainability is not a luxury or an afterthought—it is a fundamental requirement for responsible AI deployment in healthcare.

Healthcare is fundamentally different from other domains where AI has achieved remarkable success. When an AI system recommends a treatment, suggests a diagnosis, or flags a patient for intervention, lives hang in the balance. Healthcare professionals require more than accurate predictions; they need to understand the reasoning behind those predictions. Explainable AI (XAI) provides the transparency necessary to identify and address algorithmic biases that might perpetuate or exacerbate health disparities.This book addresses this critical challenge by exploring the intersection of healthcare informatics and XAI. It brings together diverse perspectives from clinicians, data scientists, ethicists, and healthcare administrators to examine how transparent and interpretable AI systems can enhance medical practice while maintaining the trust and confidence of both healthcare providers and patients. The book not only showcases technological capabilities but also demonstrates how explainability can bridge the gap between AI innovation and clinical reality.Maintaining a balance between technical rigor and practical accessibility, the book presents detailed discussions of explainability techniques including SHAP (SHapley Additive exPlanations), LIME (Local Interpretable Model-agnostic Explanations), and causal inference methods. Case studies and examples demonstrate how different XAI techniques can be selected and tailored based on specific requirements. The book also addresses critical implementation challenges.At the threshold of AI's deeper integration into healthcare, the choices made today about transparency and explainability will shape the future of medicine. This book argues that explainability is not a luxury or an afterthought—it is a fundamental requirement for responsible AI deployment in healthcare.

"Generative Artificial Intelligence (AI) Approaches for Industrial Applications" explores the transformative potential of Generative AI technologies across various industries.

This book bridges the gap between theory and practice, offering a rich exploration of project management practices across Europe, Asia, and Africa.

This book bridges the gap between theory and practice, offering a rich exploration of project management practices across Europe, Asia, and Africa. This book presents a collection of cutting-edge research and case studies that illustrate the application of project management principles in various industries and regions. Through contributions from global scholars and practitioners, this book covers a wide range of topics, from the rise of hybrid project management methodologies to the challenges of managing public projects, to the role of artificial intelligence in multicultural leadership. Key themes include decision-making, critical thinking, resilience in collaborative R&D, and project management in emerging markets such as Africa and Asia’s tiger economies. This book is designed for project managers, researchers, and professionals who want to understand the unique challenges and opportunities of managing projects in diverse cultural and economic contexts. By examining case studies and research from around the globe, readers will gain valuable insights into how to apply project management techniques in real-world scenarios.

From a detailed macro-environmental analysis of contemporary project management to exploring the complexities of AI project management, each chapter highlights critical strategies, tools, and methodologies needed to tackle today's evolving challenges in program and project management.

“Artificial Intelligence (AI) in Healthcare Information Systems: Security and Privacy Challenges” offers a deep dive into the integration of AI in healthcare, with a primary focus on addressing the significant security and privacy concerns that arise in this domain.

In an age where digital transformation is redefining healthcare, this book offers a timely and comprehensive exploration of one of the field’s most dynamic frontiers. This interdisciplinary book brings together leading scholars, clinicians, engineers, and technologists from across the globe to examine how wearable devices and remote monitoring systems are revolutionizing patient care, clinical workflows, and health system performance.From economic and policy implications to machine learning applications, surgical robotics, and patient co-design, the chapters present groundbreaking research and real-world insights. Whether discussing intelligent IoT systems for surgical support or exploring the impact of wearables on healthcare providers’ well-being, this book offers a forward-thinking lens on both the promises and pitfalls of wearable health tech.Highlights include:•    The policy and economic ramifications of wearable integration in healthcare systems.•    Cutting-edge AI and machine learning approaches transforming real-time data into actionable insights.•    The role of wearables in chronic disease management, workforce wellness, and digital co-design.•    Implications for marginalized and disabled populations through inclusive tech innovation.•    Global perspectives on the future of connected health and patient-centered technologies.Written for healthcare leaders, researchers, developers, and policymakers, this essential reference will inspire innovation and inform decision-making in a rapidly evolving digital health landscape.“Wearables are no longer a glimpse of the future—they are reshaping healthcare today.”

This book explores the complex and rapidly evolving internet of things (IOT) and the expanding role of wearable technologies on healthcare. Remote monitoring and wearable devices have become increasingly popular in recent years, enabling continuous tracking of vital signs, activity levels and other health parameters. This can support early detection of potential health issues, facilitate proactive preventive care and allow healthcare providers to monitor patients' conditions remotely. By integrating data from wearables with electronic health records, it is possible to obtain a comprehensive view of a patient's health status. This book is intended primarily for postgraduate students and researchers, but is also suitable for advanced undergraduates across a range of health‑related disciplines. These include computer science (with an emphasis on healthcare informatics), healthcare informatics, data science, biomedical engineering and medical ethics. It is written for readers interested in the intersection of the medical IOT, healthcare and data security. The book also serves as a valuable resource for medical practitioners, healthcare IT professionals, hospital administrators and clinical data analysts. In addition, it will appeal to AI developers, data scientists, cybersecurity analysts and product managers working in healthcare technology.Advancing Healthcare with the Medical Internet of Things offers an overview of cutting‑edge innovations driving smart, responsive and patient‑focused healthcare. The book highlights both the opportunities these devices create and the technological advancements still needed to fully realize their potential. The chapters explore the ethical and legal implications of collecting, storing and using patient data generated by wearable devices, emphasizing the importance of responsible data governance. The book also focuses on hidden biases embedded in IOT systems and their potential to exacerbate existing healthcare disparities, underscoring the need to identify and mitigate these biases to ensure equitable healthcare delivery. In addition, it describes a range of wearable technologies used across global health systems, assessing their advantages and limitations, and therefore equips healthcare providers, policymakers and technologists with a clearer understanding of both the benefits and the risks associated with integrating wearable devices into clinical practice.