Machine learning influences predictive models in finance by providing advanced algorithms that analyze vast datasets to identify patterns and trends. These models can forecast stock prices, assess credit risk, and enhance fraud detection. By learning from historical data, machine learning systems become adept at making accurate predictions, improving investment strategies, and optimizing resource allocation. Additionally, they can adjust in real time to new data, maintaining their relevance and accuracy. Overall, machine learning enriches financial decision-making and increases operational efficiency.