Generating automatically entity profile data to relate to persona classification data to customize integration data into compatible distributed data sources at various networked computing devices

A system comprising:

• a data store configured to receive streams of data via a network into an application computing platform;
• and
• a processor configured to execute instructions to implement an application configured to:
• transmit entity data from a computing platform including a processor and memory that stores at least a portion of executable instructions to generate entity profile data;
• receive via an applications program interface (“API”) electronic messages including retrieved entity data;
• apply the retrieved entity data into data model logic including a machine learning neural network, the retrieved entity data being associated with an entity for which the entity profile data is characterized as a portion of contextual data;
• access a data model logic repository to identify profile characterization data relevant to the retrieved entity data, thereby forming relevant entity data;
• activate a profile characterization controller configured to generate a format customized to solicit classes of the profile characterization data;
• generate an entity profile;
• apply the retrieved entity data including the entity profile as the portion of the contextual data to a vector database;
• and
• generate persona classification data to derive generation of integration data to update applications hosting distributed data.

A non-transitory computer readable medium having one or more computer program instructions configured to perform a method, the method comprising:

• transmitting entity data from a computing platform including a processor and memory that stores at least a portion of executable instructions to generate entity profile data;
• receiving via an applications program interface (“API”) electronic messages including retrieved entity data;
• applying the retrieved entity data into data model logic including a machine learning neural network, the retrieved entity data being associated with an entity for which the entity profile data is characterized as a portion of contextual data;
• accessing a data model logic repository to identify profile characterization data relevant to the retrieved entity data, thereby forming relevant entity data;
• activating a profile characterization controller configured to generate a format customized to solicit classes of the profile characterization data;
• generating an entity profile,
• applying the retrieved entity data including the entity profile as the portion of the contextual data to a vector database;
• and
• generating persona classification data to derive generation of integration data to update applications hosting distributed data.