Real-Time Prediction is the generation of a model’s output within a latency budget tight enough to inform an immediate decision, typically single-digit to low double-digit milliseconds, as opposed to batch inference computed ahead of need. It requires a serving infrastructure optimised for low-latency, high-throughput requests rather than raw computational efficiency alone. Applications include fraud detection, recommendation, and real-time bidding, where the value of a prediction decays rapidly with delay.