Abstract: A method includes receiving data comprising a plurality of requests and a plurality of responses to the requests. The requests and the responses are associated with a virtual assistant programmed to address the plurality of requests. In the method, a machine learning (ML) classifier is used to partition the requests into a plurality of partitions corresponding to a plurality of request types. An interface for a user is generated to display a subset of the requests corresponding to at least one partition of the plurality of partitions and to display a response corresponding to the subset of the plurality of requests, wherein the response is based on one or more of the plurality of responses. The interface is configured to permit editing of the response by the user. The method also includes processing the response edited by the user, and transmitting the edited response to the virtual assistant.

Abstract: A method for model management includes receiving data on which to base a model, evaluating the received data against a plurality of existing models and data associated with each of the plurality of existing models, determining whether any of the plurality of existing models can be used as the model or as a basis to develop the model for the received data, and providing a user with the existing models that can be used as the model or as a basis to develop the model for the received data.

Abstract: A method includes receiving data comprising a plurality of requests and a plurality of responses to the requests. The requests and the responses are associated with a virtual assistant programmed to address the plurality of requests. In the method, a machine learning (ML) classifier is used to partition the requests into a plurality of partitions corresponding to a plurality of request types. An interface for a user is generated to display a subset of the requests corresponding to at least one partition of the plurality of partitions and to display a response corresponding to the subset of the plurality of requests, wherein the response is based on one or more of the plurality of responses. The interface is configured to permit editing of the response by the user. The method also includes processing the response edited by the user, and transmitting the edited response to the virtual assistant.

Abstract: A method for model management includes receiving data on which to base a model, evaluating the received data against a plurality of existing models and data associated with each of the plurality of existing models, determining whether any of the plurality of existing models can be used as the model or as a basis to develop the model for the received data, and providing a user with the existing models that can be used as the model or as a basis to develop the model for the received data.

Abstract: A method for model management includes receiving data on which to base a model, evaluating the received data against a plurality of existing models and data associated with each of the plurality of existing models, determining whether any of the plurality of existing models can be used as the model or as a basis to develop the model for the received data, and providing a user with the existing models that can be used as the model or as a basis to develop the model for the received data.

Abstract: A system for re-authentication comprises a re-authentication server, implemented by one or more processing devices. The re-authentication server is configured to receive a re-authentication request from an organizational server, process the re-authentication request, and transmit a re-authentication prompt to a user device, wherein the re-authentication request is transmitted from the organizational server to the re-authentication server without being communicated to an application server configured to receive a request for at least one of a service and data from the user device.

Abstract: A method for model management includes receiving data on which to base a model, evaluating the received data against a plurality of existing models and data associated with each of the plurality of existing models, determining whether any of the plurality of existing models can be used as the model or as a basis to develop the model for the received data, and providing a user with the existing models that can be used as the model or as a basis to develop the model for the received data.

Abstract: A system for re-authentication comprises a re-authentication server, implemented by one or more processing devices. The re-authentication server is configured to receive a re-authentication request from an organizational server, process the re-authentication request, and transmit a re-authentication prompt to a user device, wherein the re-authentication request is transmitted from the organizational server to the re-authentication server without being communicated to an application server configured to receive a request for at least one of a service and data from the user device.

Abstract: Example systems and methods of providing enriched financial transaction records are described. In one implementation, a method identifies a financial transaction record that describes a financial transaction associated with a financial institution. The method accesses metadata that has a relationship to the financial transaction and is not structured as a financial transaction record. The metadata is associated with the financial transaction record.

Abstract: Example financial conversation management systems and methods are described. In one implementation, a method receives a request from a user and identifies financial data associated with the user. The method determines an answer to the request from the user and infers a user intent based on the financial data associated with the user. An offer is selected for the user based on the user intent.

Abstract: A method for multiple value confirmation and correction in spoken dialog systems. A user is allowed to correct errors in values captured by the spoken dialog system, such that the interaction necessary for error correction between the system and the user is reduced. When the spoken dialog system collects a set of values from a user, the system provides a spoken confirmation of the set of values to the user. The spoken confirmation comprises the set of values and possibly pause associated with each value. Upon hearing an incorrect value, the user may react and barge-in the spoken confirmation and provide a corrected value. Responsive to detecting the user interruption during the pause or after the system speaking of a value, the system halts the spoken confirmation and collects the corrected value. The system then provides a new spoken confirmation to the user, wherein the new spoken confirmation includes the corrected value.