Abstract: According to some embodiments, a ML framework for an enterprise may include an analytics data store containing electronic records that include record characteristics to be processed by a data as a service layer to create data virtualization. A ML feature pipeline may perform feature engineering based on the data virtualization to create a ML model, and a consumer layer may process operational system information utilizing a business rule engine. In addition, a real-time inference platform may expose an API endpoint associated with deployment of the ML model using the data received from the consumer layer. A CI/CD platform may then automatically provide feedback information to the ML feature pipeline regarding performance of the deployed ML model.

Abstract: In some embodiments, an input document is received at a tagging platform, via a communication device, and associates it with a tag request. The tagging platform automatically selects at least one electronic record associated with a first user from a user data store containing electronic records associated with users (each record including at least a user identifier and a user communication address). The input document and tag request are transmitted to the communication address associated with the first user, and a document tag is received from the first user. The tagging platform may then store the document tag in a document mining result database by adding an entry to the database identifying the received document tag and transmit an indication associated with the document mining result database to a plurality of risk applications.

Abstract: In some embodiments, an input document is received at a tagging platform, via a communication device, and associates it with a tag request. The tagging platform automatically selects at least one electronic record associated with a first user from a user data store containing electronic records associated with users (each record including at least a user identifier and a user communication address). The input document and tag request are transmitted to the communication address associated with the first user, and a document tag is received from the first user. The tagging platform may then store the document tag in a document mining result database by adding an entry to the database identifying the received document tag and transmit an indication associated with the document mining result database to a plurality of risk applications.

Abstract: In some embodiments, an input document is received at a tagging platform, via a communication device, and associates it with a tag request. The tagging platform automatically selects at least one electronic record associated with a first user from a user data store containing electronic records associated with users (each record including at least a user identifier and a user communication address). The input document and tag request are transmitted to the communication address associated with the first user, and a document tag is received from the first user. The tagging platform may then store the document tag in a document mining result database by adding an entry to the database identifying the received document tag and transmit an indication associated with the document mining result database to a plurality of risk applications.