| CPC G06F 16/1748 (2019.01) [G06F 16/1744 (2019.01)] | 21 Claims |
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1. A computing platform, comprising:
at least one processor;
a communication interface communicatively coupled to the at least one processor; and
a memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to:
receive a plurality of data elements;
for each data element of the plurality of data elements:
score, using a machine learning model, a respective data element, wherein the scoring is based, at least in part, on a usage of the respective data element;
identify a type of data associated with the respective data element;
identify, using the machine learning model, connections between the type of data associated with the respective data element and other types of data;
store the respective data element in a data container associated with the type of data, storing the respective data element including storing the score for the respective data element and the identified connections between the type of data associated with the respective data element and other types of data;
evaluate, using a data redundancy engine and based, at least in part, on the score for the stored data element, the stored data element to determine whether the stored data element is redundant;
responsive to determining that the stored data element is not redundant, maintain storage of the data element and connections;
responsive to determining that the stored data element is redundant:
identify one or more data redundancy actions for execution; and
execute the identified one or more data redundancy actions.
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