This book brings together peer-reviewed research contributions exploring cutting-edge developments in AI, big data, and blockchain-fields that are transforming industries today. Written by leading experts, the chapters showcase advances in:
- AI methodologies and modelling-including machine learning and deep neural networks
- Big data analytics to uncover hidden patterns and insights
- Blockchain-based data management methods, privacy-preserving architecture and trust-enhancing systems
- Security threat detection, fraud prevention and privacy-preserving applications
With applications ranging from industrial-scale systems to real-world, high-stakes environments, this book serves as an essential resource for:
- Researchers exploring next-generation AI, blockchain and data science approaches
- Practitioners and developers implementing enterprise-scale solutions
- Industry professionals and policy-makers seeking best practices in secure, transparent and accountable computing
This book offers both theoretical depth and applied relevance, making it a valuable reference to guide innovation in data-driven and decentralised systems.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Illustrationen
14
35 farbige Abbildungen, 14 s/w Abbildungen
XII, 205 p. 49 illus., 35 illus. in color.
Dateigröße
ISBN-13
978-3-032-04728-1 (9783032047281)
DOI
10.1007/978-3-032-04728-1
Schweitzer Klassifikation
