Importance

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Abstract

There are provided systems and methods for multi-layer artificial intelligence models for progressive predictions during data pipeline management. A service provider may provide AI functionalities, such as through a multi-layer ML model framework that employs multiple layers for different ML models that process different features. The features in one layer and ML model may process data for static features, where an output from this layer may be used as an input with data for dynamic feature that provide a predictive score or output for the input data. The static features may only be required to be processed once or a few times in the first layer and may not be required to be further processed again at later times. With the second layer, the data for the dynamic features may change, and thus the second layer may process new data without being required to reprocess the static features.

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First Claim