System and method for optimizing data processing in cloud-based, machine learning environments through the use of self organizing map

A computer-implemented method for optimizing data processing in machine learning environments through using self organizing maps, the method being implemented in a computer system having one or more physical processors programmed with computer instructions that, when executed by the one or more physical processors, cause the computer system to perform the method, the method comprising:

• accessing one or more cloud-based memory elements coupled to the computer system and configured to at least store deal attributes including collateral allocation rulesets associated with a first device, and collateral characteristics for collateral provided by a second device that are associated with one or more records;
• retrieving a machine learning model implemented on the computer system that is trained based on portfolio deal attributes including collateral allocation rulesets associated with a training portfolio to produce a self organizing map, wherein:
• the machine learning model is trained, by generating outputs based on inputs of the training portfolio and updating configurations of the machine learning model based on assessments of predictions in the outputs, to generate a self organizing map for collateral allocation;
• and
• the self organizing map comprises a neural network that uses vectors of margins for individual positions as inputs to train the neural network in a learning mode, wherein the learning mode comprises use of competitive learning by the neural network in which nodes of the neural network compete for a right to respond to a subset of the inputs such that the nodes learn to specialize on ensembles of similar patterns and are configured as feature detectors for different classes of input patterns, and wherein the neural network classifies a new input vector using a mapping mode, wherein the mapping mode comprises use of a Euclidian Distance formula to group recalled collateral based on the margins for individual positions
• recalling, via the computer system, collateral originally associated with the one or more records into a common dealer box;
• and
• identifying, via the computer system, under-collateralized ones of the one or more records.