Vamsee Pamisetty

AI-Driven Lottery Revenue Optimization: Predictive Modeling for Public Fund Allocation explores how artificial intelligence, machine learning, and advanced analytics can improve lottery revenue forecasting and support more effective allocation of public funds. The book examines data-driven approaches for identifying revenue patterns, predicting demand, optimizing operational decisions, and improving the reliability of financial planning.
It also discusses the role of cloud-based platforms, real-time analytics, responsible AI, transparency, and governance in building trustworthy decision-support systems. By connecting predictive modeling with public-sector financial management, the book presents practical strategies for using intelligent technologies to enhance resource planning, accountability, and long-term community outcomes.