Predictive analytics is transforming businesses by using historical data to forecast future events, providing insights for smarter decisions, and helping industries such as retail and healthcare make informed assumptions about the future. It uses various techniques like regression analysis, classification models, clustering, time series model, and neural networks to create insights from data. Generative AI is enhancing predictive analytics by creating new content, learning patterns from data, and adapting to new data in real-time for responsive forecasting. Data streaming maximizes the potential of predictive analytics and generative AI, enabling real-time decision-making with continuous flow of real-time data. This synergy between generative AI and data streaming is essential for predictive analytics, providing faster and more accurate forecasting. The combination of these technologies has applications in various industries such as finance, healthcare, retail, manufacturing, transportation, energy, and e-commerce, offering valuable insights to inform business decisions.