What term refers to the instant generation of predictions as new data is received, important for time-sensitive applications?

The term that refers to the instant generation of predictions as new data is received is known as Real-Time Prediction. This concept is integral to fields that require immediate responses and decision-making based on the latest information, such as finance, healthcare, and emergency response systems. The ability to process and analyze data instantly allows organizations to adapt quickly to changing conditions, optimize operations, and enhance user experiences by providing timely insights.

In contrast, batch processing involves collecting input data over a period and processing it all at once, which can introduce delays in response time. Delayed analytics refers to analyses that provide insights after a significant time lag, typically not suitable for scenarios where instantaneous decision-making is critical. Static analysis generally pertains to the examination of data or systems without any ongoing updates, which does not align with the need for real-time adaptability.

Thus, in pressing scenarios where quick adaptations are necessary, Real-Time Prediction is crucial, enabling systems to react to new data immediately and maintain operational effectiveness.