Introduction

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:

Key Topics

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

Applications and Audience

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.