Data-Centric Business and Applications

This book explores the intersection of digital technologies and societal challenges--ranging from post-war reconstruction and smart city planning to human capital development, machine learning, and the fight against financial crime. Structured across 22 chapters, this book presents breakthrough concepts in circular economy models, crisis prevention using neural networks, cybersecurity in economic recovery, and microprocessor devices for predictive maintenance. It also highlights marketing strategies for universities, energy-saving innovations, and the role of national research data systems. Geared toward professionals in technology, economics, urban planning, and academia, this book offers a multidisciplinary guide to rebuilding, reimagining, and securing future-ready systems in volatile global environments.