Wookjae Heo – författare

This two-volume book offers an in-depth exploration of Korea’s multidisciplinary advancements in Artificial Intelligence (AI). It showcases how Korean and Korean American scholars utilize diverse methodologies, including systematic literature reviews, empirical research, and industry case studies, to illustrate AI’s transformative impacts across fields like engineering, business, health, and education. It bridges a gap in global AI literature and provides comprehensive insights into AI’s trajectory, ethical considerations, and prospects, aiming to establish Korea’s AI research as a vital topic on the global academic stage.The editors offer a unique, interdisciplinary exploration of AI research, distinctly focusing on Korea’s significant contributions. It highlights how Korea has achieved milestones across diverse fields like engineering, business, humanities, and healthcare. Key advantages include its spotlight on Korean innovations, filling a crucial gap in global literature, and offering insights into an underrepresented yet influential context. Its interdisciplinary perspective spans five major fields, integrating rigorous methodologies, from systematic reviews to empirical analysis, ensuring robust, evidence-based insights. With real-world relevance derived from practical case studies, it bridges theory and application. This book ensures global accessibility, making Korea’s AI advancements widely recognized and fostering crucial cross-cultural academic exchange. This is a critical addition to the global AI discourse serving as a catalyst for further research and collaboration. The first volume in this two-part series explores AI-driven innovations in science, engineering, health, business, industry, and ethics, with a focus on Korea’s AI ecosystem. Chapters cover diverse topics from sustainable water treatment and 3D-printed cardiovascular devices to personal finance and ethical surveillance systems.This book targets the industry practitioner with rigorous AI insights and real-world applications, serving as a useful guide. With high research standards and diverse methodologies, this book can be used for graduate-level studies, serving as a useful reference resource.

This two-volume book offers an in-depth exploration of Korea’s multidisciplinary advancements in Artificial Intelligence (AI). It showcases how Korean and Korean American scholars utilize diverse methodologies, including systematic literature reviews, empirical research, and industry case studies, to illustrate AI’s transformative impacts across fields like engineering, business, health, and education. It bridges a gap in global AI literature and provides comprehensive insights into AI’s trajectory, ethical considerations, and prospects, aiming to establish Korea’s AI research as a vital topic on the global academic stage.The editors offer a unique, interdisciplinary exploration of AI research, distinctly focusing on Korea’s significant contributions. It highlights how Korea has achieved milestones across diverse fields like engineering, business, humanities, and healthcare. Key advantages include its spotlight on Korean innovations, filling a crucial gap in global literature and offering insights into an underrepresented yet influential context. Its interdisciplinary perspective spans five major fields, integrating rigorous methodologies, from systematic reviews to empirical analysis, ensuring robust, evidence-based insights. With real-world relevance derived from practical case studies, it bridges theory and application. This book ensures global accessibility, making Korea’s AI advancements widely recognized and fostering crucial cross-cultural academic exchange. This is a critical addition to the global AI discourse serving as a catalyst for further research and collaboration. This book targets the industry practitioner with rigorous AI insights and real-world applications, serving as a useful guide. With high research standards and diverse methodologies, this book can be used for graduate-level studies, serving as a useful reference resource.

This book, adopting machine learning techniques for the financial planning field, explores the demand for life insurance as seen in previous literature and both estimates and predicts the demand for the adoption of life insurance using these techniques.

This book, adopting machine learning techniques for the financial planning field, explores the demand for life insurance as seen in previous literature and both estimates and predicts the demand for the adoption of life insurance using these techniques.