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Data-Centric Business and Applications
Details
This book explores the intersection of digital technologies and societal challengesranging 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.
Explores problems and trends in the development of financial and investment innovation processes Covers various aspects of business information processing for effective enterprise management Provides strategies for developing digital businesses and information security
Inhalt
.- Intelligent Compliance as a Fundamental Tool for Ukraine's Economic Security.- The Convergence of Artificial Intelligence with the Circular Economy.- Urban Planning Principles and Models of Reconstructive Restoration of Urbanized Territories of Luhansk Region Destroyed by Hostilities, Based on Innovative Development.- Detecting Country of Origin Data Manipulation in Sanctioned Raw Material Supply Chains: Expert Survey Insights, etc.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783032066077
- Anzahl Seiten 454
- Lesemotiv Verstehen
- Genre Technology
- Editor Andrii Semenov, Iryna Yepifanova, Jana Kajanová
- Sprache Englisch
- Herausgeber Springer-Verlag GmbH
- Gewicht 710g
- Untertitel Modern Trends in Financial and Innovation Data Processes 2025. Volume 2
- Größe H25mm x B155mm x T235mm
- Jahr 2026
- EAN 9783032066077
- Format Kartonierter Einband (Kt)
- ISBN 978-3-032-06607-7
- Titel Data-Centric Business and Applications