CPC G06Q 10/063 (2013.01) [G06F 11/3452 (2013.01); G06F 18/256 (2023.01); G06N 3/04 (2013.01); G06N 5/025 (2013.01); G06N 5/04 (2013.01); G06N 7/01 (2023.01)] | 20 Claims |
1. A system for predicting communication settlement times across disparate computer networks, comprising:
storage circuitry configured to:
store a first tier of a machine learning architecture, wherein the first tier comprises:
a first machine learning model;
a second machine learning model; and
an aggregation layer for the first machine learning model and the second machine learning model;
store a second tier of the machine learning architecture, wherein the second tier comprises a plurality of rule sets for predicting communication settlement times;
control circuitry configured to:
receive a first data feed, wherein the first data feed corresponds to a first type of communication data;
receive a second data feed, wherein the second data feed corresponds to a second type of communication data;
generate a first feature input based on the first data feed;
generate a second feature input based on the second data feed;
input the first feature input into the first machine learning model to generate a first output;
input the second feature input into the second machine learning model to generate a second output;
generate, using the aggregation layer for the first machine learning model and the second machine learning model, a third feature input based on the first output and second output;
determine, based on the third feature input, a first rule set from a plurality of rule sets for predicting communication settlement times;
receive a first communication;
predict a first communication settlement time for the first communication based on the first rule set;
determine an aggregated communication load at a first time based on the first communication settlement time;
determine an amount of required performance availability based on the aggregated communication load; and
determine a recommendation based on the amount of required performance availability; and
cloud-based input/output configured to generate for display, on a user interface, the recommendation based on the first communication settlement time.
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