Data-Centric Business and Applications
Advancements in Information & Knowledge Management, Volume 5
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Beschreibung
This book presents a collection of research chapters exploring key technological, economic, organizational, and social challenges of the digital age. The book highlights how data, AI, cloud computing, cybersecurity, and intelligent information systems are transforming sectors like healthcare, public administration, education, consumer markets, business management, and social communication. Readers will learn about current approaches such as mobile health, public data ecosystems, Internet resilience, digital resistance, post-quantum security, large language models, IoT-enabled smart homes, robotic demining, medical imaging, cloud e-governance, and multi-agent AI systems. Additionally, the book examines consumer behavior, sustainability, strategic partnerships, digital markets, academic integrity, and the ethical governance of emerging technologies. By combining conceptual frameworks, analytical reviews, empirical insights, and practical technological solutions, this book provides a comprehensive resource on how data-driven innovation can foster resilient organizations, responsible decision-making, secure digital infrastructures, and sustainable growth. It is aimed at researchers, educators, postgraduate students, technology experts, managers, policymakers, and practitioners who seek to connect information and knowledge management with real-world digital transformation.
This book presents a collection of research chapters exploring key technological, economic, organizational, and social challenges of the digital age. The book highlights how data, AI, cloud computing, cybersecurity, and intelligent information systems are transforming sectors like healthcare, public administration, education, consumer markets, business management, and social communication. Readers will learn about current approaches such as mobile health, public data ecosystems, Internet resilience, digital resistance, post-quantum security, large language models, IoT-enabled smart homes, robotic demining, medical imaging, cloud e-governance, and multi-agent AI systems. Additionally, the book examines consumer behavior, sustainability, strategic partnerships, digital markets, academic integrity, and the ethical governance of emerging technologies. By combining conceptual frameworks, analytical reviews, empirical insights, and practical technological solutions, this book provides a comprehensive resource on how data-driven innovation can foster resilient organizations, responsible decision-making, secure digital infrastructures, and sustainable growth. It is aimed at researchers, educators, postgraduate students, technology experts, managers, policymakers, and practitioners who seek to connect information and knowledge management with real-world digital transformation.
Offers practical knowledge on different facets of information and knowledge management in businesses Focuses on applications, benefits, and encounters within efficient business information processing Explores various aspects of information processing for effective enterprise management
Autor*in
Peter Štarchoň
Themen in »Data-Centric Business and Applications«
Information/Knowledge Centric Business Information/Knowledge Compelled Optimization Information Driven Business Processes Information/Knowledge Centric Architectures Information/Knowledge-Centric Models Business Metrics for Information/Knowledge Focused Companies