Predictive Artificial Intelligence and Its Impact on Decision Support Predictive artificial intelligence is one of the most significant branches of modern AI. It relies on analyzing historical data and using advanced algorithms and machine learning models to predict future events and outcomes. This type of AI supports decision-making processes by providing accurate, data-driven insights rather than relying solely on human intuition or experience. Predictive AI uses various techniques such as statistical regression, artificial neural networks, decision trees, and deep learning models. These methods analyze large volumes of data to identify patterns and hidden relationships, enabling organizations to anticipate risks and opportunities and make more effective and informed decisions. The impact of predictive AI on decision support is evident across multiple sectors, including healthcare—where it helps predict disease progression and improve treatment plans—economics and finance through market trend forecasting and risk management, as well as education, industry, and transportation. It also contributes to better resource allocation, reduced operational costs, and enhanced organizational performance.