Abstract: A system and method for domain aware document classification and information extraction from consumer documents are disclosed. A particular embodiment is configured to: establish, by use of a data processor and a data network, a data connection with at least one applicant platform; receive an upload of documents from the applicant platform via the data network; classify each document as being of a particular document type; determine an information extraction strategy based on a document type classification of a particular document; and extract information from the particular document based on the information extraction strategy.

Abstract: Systems, computer program products, and methods are described herein for implementing AI to generate a time-sensitive notifications related to configuration of graphical user interfaces. The present invention is configured to identify a primary user account; collect a primary user account dataset; generate a time sensitive notification AI engine associated with the primary user account; access, by the time sensitive notification AI engine, a user account database; identify at least one comparable user account and an associated at least one comparable user account dataset; compare, by the time sensitive notification AI engine, the primary user account dataset and the at least one comparable user account dataset; generate a time sensitive notification for the primary user account; and transmit a time sensitive notification interface component to a user device associated with the primary user account.

Abstract: A system for transitioning an interaction session initiated within a metaverse to a real-world environment to complete the interaction session comprises a metaverse server in communication with an entity server. The metaverse server receives an interaction request from an avatar to initiate an interaction session with an entity within a virtual environment. The metaverse server generates an instruction token for a user instruction and a session identifier for the interaction session. The metaverse server obtains a user identity token from the entity and authorizes the avatar to interact with the entity. The metaverse server conducts the first interaction between the avatar and the entity and generates a first interaction token for the first interaction. The entity server validates the user identity token and the first interaction token from the user device in the real-world environment. The entity server conducts a second interaction with the user to complete the interaction session.

Abstract: A system and method for domain aware document classification and information extraction from consumer documents are disclosed. A particular embodiment is configured to: establish, by use of a data processor and a data network, a data connection with at least one applicant platform; receive an upload of documents from the applicant platform via the data network; classify each document as being of a particular document type; determine an information extraction strategy based on a document type classification of a particular document; and extract information from the particular document based on the information extraction strategy.

Abstract: A system and method for domain aware document classification and information extraction from consumer documents are disclosed. A particular embodiment is configured to: establish, by use of a data processor and a data network, a data connection with at least one applicant platform; receive an upload of documents from the applicant platform via the data network; classify each document as being of a particular document type; determine an information extraction strategy based on a document type classification of a particular document; and extract information from the particular document based on the information extraction strategy.

Abstract: A system and method for domain aware document classification and information extraction from consumer documents are disclosed. A particular embodiment is configured to: establish, by use of a data processor and a data network, a data connection with at least one applicant platform; receive an upload of documents from the applicant platform via the data network; classify each document as being of a particular document type; determine an information extraction strategy based on a document type classification of a particular document; and extract information from the particular document based on the information extraction strategy.

Abstract: A communication network may scan data to identify and prevent the spread of malicious data, such as viruses, worms, trojans, malware, and the like, transmitted through the communication network. As scanning content for malicious data within an application program or an application node hosted on the communication network may limit the performance of the application program, a server in a load balanced datacenter environment may host a malicious data scan as a service. Accordingly, the malicious data scan service may scale effectively to accommodate an increasing number of application nodes in the network, and by retrieving updated definitions of malicious data at suitable times, the server may identify malicious data with increasing reliability.

Abstract: A communication network may scan data to identify and prevent the spread of malicious data, such as viruses, worms, trojans, malware, and the like, transmitted through the communication network. As scanning content for malicious data within an application program or an application node hosted on the communication network may limit the performance of the application program, a server in a load balanced datacenter environment may host a malicious data scan as a service. Accordingly, the malicious data scan service may scale effectively to accommodate an increasing number of application nodes in the network, and by retrieving updated definitions of malicious data at suitable times, the server may identify malicious data with increasing reliability.

Abstract: A communication network may scan data to identify and prevent the spread of malicious data, such as viruses, worms, trojans, malware, and the like, transmitted through the communication network. As scanning content for malicious data within an application program or an application node hosted on the communication network may limit the performance of the application program, a server in a load balanced datacenter environment may host a malicious data scan as a service. Accordingly, the malicious data scan service may scale effectively to accommodate an increasing number of application nodes in the network, and by retrieving updated definitions of malicious data at suitable times, the server may identify malicious data with increasing reliability.