The integration of artificial intelligence (AI) and predictive analytics into public administration is reshaping governance, policy implementation, and service delivery. As governments worldwide embrace digital transformation, AI-driven predictive analytics offers unprecedented opportunities to enhance decision-making, optimize resource allocation, and proactively address societal challenges. From forecasting public health crises to improving urban planning and streamlining social services, these technologies are revolutionizing how public institutions operate. Transforming Public Administration Through AI-Driven Predictive Analytics explores the transformative potential of AI in governance. It provides a comprehensive examination of theoretical frameworks, practical applications, and case studies showcasing successful implementations and predictive analytics in various domains of public administration. Covering topics such as blockchain, public higher education, and wireless sensor networks, this book is an excellent resource for policymakers, public administrators, technology professionals, researchers, academicians, and more.