Real-time Monitoring
Real-time monitoring refers to the continuous observation and analysis of data as it is generated, with the goal of detecting and responding to events or changes as they occur. In the context of data science and artificial intelligence, real-time monitoring is often used to track the performance of machine learning models, detect anomalies or outliers in data streams, and provide timely feedback to decision-makers. Real-time monitoring systems typically involve the use of sensors, data collection and processing tools, and visualization dashboards that allow users to quickly identify and respond to critical events. These systems may also incorporate machine learning algorithms that can automatically detect patterns or anomalies in data streams, and trigger alerts or actions based on predefined rules or thresholds.
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