System and method for prioritizing customer data

A system for prioritizing data, the system comprising:

• a computing device;
• a memory;
• and
• a processor, the processor configured to:
• use of one or more datasets of tabular data to generate one or more analysis prompts, wherein one or more of the datasets are received from one or more computer devices separate from the processor, and wherein one or more of the datasets are transformed into natural language;
• apply the one or more analysis prompts to a large language model (LLM) to generate a vector for each dataset;
• generate, by a classifier model, a prioritization value based on the generated vector;
• and
• generate a prioritization of the one or more datasets by comparing the prioritization value of the vector to threshold values, and producing an alert when the prioritization value of the vector lies above the threshold values.

A method of managing data, the method comprising, using a computer processor:

• using a plurality of datasets of tabular data to create a plurality of analysis prompts, wherein one or more of the datasets are received from one or more computer devices separate from the processor, and wherein one or more of the datasets are transformed into natural language;
• submitting the plurality of analysis prompts to a large language model (LLM) to convert the plurality of analysis prompts into a vector for each dataset;
• generating, by a classifier model, a prioritization value based on the generated vector;
• and
• comparing the prioritization value of the vector to threshold values to create a prioritization of the plurality of data sets, and producing an alert when the prioritization value of the vector lies above the threshold values.