Data governance AI for predictive data retrieval based on multiple triggers

A method for a predictive data process in a distributed network, the method comprising:

• hosting, with a plurality of computer servers coupled to the distributed network, a secure account system that provides secure access to a plurality of accounts through multiple diverse interfaces;
• collecting, with the plurality of computer servers, information indicative of interactions by a plurality of users with the secure account system via the multiple diverse interfaces, wherein the interactions by the plurality of users comprise a specific user accessing restricted data in one of the plurality of accounts, wherein the accessing of the restricted data is authorized by the secure account system based on the specific user being in a first location;
• processing, using one or more predictive artificial intelligence models, the information to detect one or more event triggers associated with the interactions, wherein the one or more event triggers comprise the specific user moving to a second location of the distributed network;
• identifying, using the one or more predictive artificial intelligence models and based on the one or more event triggers, a predicted interaction by a the specific user with the secure account system, wherein the predicted interaction comprises the specific user accessing a derivative data product, wherein the accessing of the derivative data product is authorized by the secure account system based on the specific user being in the second location;
• generating, using one or more generative artificial intelligence models, a data process of the secure account system that supports the predicted interaction, wherein the data process comprises generating the derivative data product from the restricted data;
• and
• executing, with the plurality of computer servers, the data process prior to the specific user initiating the predicted interaction with the secure account system.

A system for predictive data processing in a distributed network, the system comprising at least one processor and memory having computer executable instructions stored therein, wherein the instructions, when executed by the at least one processor, cause the at least one processor to:

• collect information indicative of interactions of a plurality of users with a secure account system via multiple diverse interfaces, wherein the secure account system provides secure access to a plurality of accounts through the multiple diverse interfaces and is hosted in the distributed network by one or more computer servers, and wherein the interactions by the plurality of users comprise a specific user accessing restricted data in one of the plurality of accounts, wherein the accessing of the restricted data is authorized by the secure account system based on the specific user being in a first location;
• process the information with one or more predictive artificial intelligence models to detect one or more event triggers associated with the interactions, wherein the one or more event triggers comprise the specific user moving to a second location of the distributed network;
• identify, based on the one or more event triggers, a predicted interaction by a the specific user with the secure account system, wherein the predicted interaction comprises the specific user accessing a derivative data product, wherein the accessing of the derivative data product is authorized by the secure account system based on the specific user being in the second location;
• generate, using one or more generative artificial intelligence models, a data process of the secure account system that supports the predicted interaction, wherein the data process comprises generating the derivative data product from the restricted data;
• and
• cause the data process to be executed by the secure account system prior to the specific user initiating the predicted interaction with the secure account system.