The purpose of using machine learning algorithms in real-time analytics is to enable systems to process and analyze vast amounts of data instantaneously, identifying patterns and trends that drive decision making. By leveraging algorithms that adapt and learn from new data, organizations can gain immediate insights that inform operational adjustments, customer engagement, and risk management. This approach enhances the ability to react swiftly to market changes and customer behavior, providing a competitive edge. Additionally, it supports predictive analytics, allowing businesses to forecast future outcomes based on historical data.