This book reveals how AI can enhance fiscal accountability, combat financial fraud, expand inclusive finance, and empower citizens-without requiring advanced infrastructure, through real-world case studies and interdisciplinary analysis. In an age defined by data, this book offers a groundbreaking roadmap for leveraging artificial intelligence, machine learning, and big data analytics to transform public finance and drive sustainable development in resource-constrained economies.This timely book brings together leading scholars and practitioners from Palestine, Jordan, the UK, Canada, and beyond to explore how intelligent systems-from predictive budgeting models to blockchain-based transparency tools-are reshaping governance in emerging markets.Designed for researchers, policymakers, development practitioners, and graduate students, this is not just a theoretical treatise-it is a practical guide to building ethical, scalable, and data-driven public institutions. With chapters on healthcare analytics, smart education, cybersecurity, and ethical AI, it bridges the gap between technological potential and real-world impact in the Global South.A vital contribution to Springer&s Studies in Big Data series, this book is essential reading for anyone committed to equitable, intelligent, and sustainable governance in the 21st century.