Beschreibung
This book brings together peer-reviewed research contributions exploring cutting-edge developments in AI, big data, and blockchainfields that are transforming industries today. Written by leading experts, the chapters showcase advances in: AI methodologies and modellingincluding machine learning and deep neural networks Big data analytics to uncover hidden patterns and insights Blockchainbased data management methods, privacypreserving architecture and trustenhancing 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.
Herstellerkennzeichnung:
Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE
E-Mail: juergen.hartmann@springer.com
