CPC G06F 16/2379 (2019.01) [G06N 20/00 (2019.01)] | 20 Claims |
1. A computing platform comprising:
at least one processor;
a communication interface communicatively coupled to the at least one processor; and
memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to:
train, using historical ledger information and historical node confidence information, an adaptive artificial intelligence (AI) engine, wherein training the adaptive AI engine configures the adaptive AI engine to output, for a given input node, a particular distributed ledger of a plurality of distributed ledgers, to which the given input node should be added;
receive a request to add a first node to one of the plurality of distributed ledgers;
input first node information, of the first node, into the adaptive AI engine, wherein inputting the first node information causes the adaptive AI engine to output a node addition score indicating a first distributed ledger, of the plurality of distributed ledgers, corresponding to an information type of the request;
compare the node addition score to a node addition threshold, wherein the node addition threshold is specific to the first distributed ledger;
based on identifying that the node addition score meets or exceeds the node addition threshold, cause the first node to be added to the first distributed ledger; and
update, using a dynamic feedback loop and based on the node addition score, the adaptive AI engine.
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