Abstract: A method for machine learning-based account manager virtual assistant staging includes receiving a message and a classification, generating a staging record, generating a status using staging rules, generating an order when the message classification is order and the status is complete, and transmitting the order. An account manager virtual assistant staging system includes a processor and a memory storing instructions that cause the system to receive a message and a classification, generate a staging record, generate a status using staging rules, generate an order when the message classification is order and the status is complete, and transmit the order. A non-transitory computer readable medium contains program instructions that when executed, cause a computer to receive a message and a classification, generate a staging record, generate a status using staging rules, generate an order when the message classification is order and the status is complete, and transmit the order.

Abstract: A computing system for enabling a user to control a legacy application of an enterprise using voice commands includes a processor and a memory storing instructions that, when executed by the one or more processors, cause the computing system to receive a user utterance; generate an output by analyzing the utterance using a speech-to-text application programming interface; and perform an action with respect to an element of the legacy application. A computer-implemented method includes receiving a user utterance; generating an output by analyzing the utterance using a speech-to-text application programming interface; and performing an action with respect to an element of the legacy application. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to receive a user utterance; generate an output by analyzing the utterance using a speech-to-text application programming interface; and perform an action with respect to an element of the legacy application.

Abstract: A computing system includes a processor; an input device; and a memory containing instructions that, when executed, cause the computing system to receive a data description corresponding to a graphical user interface control; identify the graphical user interface control using a trained convolutional neural network; and display an action palette. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to: receive a data description corresponding to a graphical user interface control; identify the graphical user interface control using a trained convolutional neural network; and display an action palette. A computer-implemented method includes receiving a data description corresponding to a graphical user interface control; identifying the graphical user interface control using a trained convolutional neural network; and displaying an action palette.

Abstract: A system includes a processor, an input device, and a memory storing instructions that, when executed, cause the system to display a palette and receive a user selection of one or more actions, and store the selected actions in association with the palette in an electronic database. In another aspect, a non-transitory computer readable medium includes program instructions that when executed, cause a computer to display, on a graphical user interface, a palette, receive, via the input device, a user selection of one or more actions, and store the selected one or more actions in association with the palette in a database. A method includes displaying a palette and receiving, via the input device, a user selection of one or more actions, and storing the selected one or more actions in association with the palette in an electronic database.

Abstract: A system includes a processor and a memory storing instructions that, when executed by the processor, cause the system to receive an utterance, transmit the utterance to a cloud to generate an intent and an entity, receive the intent and the entity, and perform an action with respect to a graphical user interface. A method includes receiving an utterance, transmitting the utterance to a cloud to generate an intent and an entity, receiving the intent and the entity, and performing an action with respect to a graphical user interface. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to receive an utterance, transmit the utterance to a cloud to generate an intent and an entity, receive the intent and the entity, and perform an action with respect to a graphical user interface.

Abstract: A computing system includes a transceiver; a processor; and a memory storing instructions that, when executed by the one or more processors, cause the computing system to receive a first message; determine a personal message feature; train a machine learning model to classify a message intent by analyzing the first message and the personal message feature; receive a second electronic message; and determine an indication of fraud. A method includes receiving an electronic message; and determining an indication of fraud by analyzing the message using a machine learning model trained using personal message features to determine an intent; and analyzing an isolated domain name. A method includes receiving a message; determining a personal message feature corresponding to the message; and training a machine learning model to classify a message intent by analyzing the message and the personal message feature.

Abstract: A method includes receiving a message, enqueueing the message, dequeueing the message by a fraud detection service, analyzing the message using a trained machine learning model, analyzing an isolated domain name, storing the message, and causing a mitigation action. A computing system includes a transceiver, a processor, a memory storing instructions that when executed by the processor cause the system to receive a message, enqueue the message, dequeue the message, analyze the message using a machine learning model, analyze an isolated domain name, store the message, and cause a mitigation action. A non-transitory computer readable medium contains instructions that when executed, cause a computer to receive a message, enqueue the message, dequeue the message by a fraud detection service, analyze the message using a machine learning model, analyze an isolated domain name, store the message, and cause a mitigation action.

Abstract: A system includes a processor and a memory storing instructions that, when executed by the processor, cause the system to receive an utterance, transmit the utterance to a cloud to generate an intent and an entity, receive the intent and the entity, and perform an action with respect to a graphical user interface. A method includes receiving an utterance, transmitting the utterance to a cloud to generate an intent and an entity, receiving the intent and the entity, and performing an action with respect to a graphical user interface. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to receive an utterance, transmit the utterance to a cloud to generate an intent and an entity, receive the intent and the entity, and perform an action with respect to a graphical user interface.

Abstract: A system includes a processor, an input device, and a memory storing instructions that, when executed, cause the system to display a palette and receive a user selection of one or more actions, and store the selected actions in association with the palette in an electronic database. In another aspect, a non-transitory computer readable medium includes program instructions that when executed, cause a computer to display, on a graphical user interface, a palette, receive, via the input device, a user selection of one or more actions, and store the selected one or more actions in association with the palette in a database. A method includes displaying a palette and receiving, via the input device, a user selection of one or more actions, and storing the selected one or more actions in association with the palette in an electronic database.

Abstract: A method for application voice access and control includes receiving a handler registration, receiving an utterance, transmitting the utterance to a cloud layer, receiving an intent and an entity from the cloud layer and dispatching the intent and the entity to the handler. A voice control hub system includes a processor and a memory storing instructions that, when executed by the processor, cause the server to receive a handler registration, receive an utterance, transmit the utterance to a cloud layer, receive an intent and an entity from the cloud layer, and dispatch the intent and the entity to the handler. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to receive a handler, receive an utterance, transmit the utterance to a cloud layer, receive an intent and an entity from the cloud layer, and dispatch the intent and the entity to the handler.

Abstract: A method includes receiving a message, enqueueing the message, dequeueing the message by a fraud detection service, analyzing the message using a trained machine learning model, analyzing an isolated domain name, storing the message, and causing a mitigation action. A computing system includes a transceiver, a processor, a memory storing instructions that when executed by the processor cause the system to receive a message, enqueue the message, dequeue the message, analyze the message using a machine learning model, analyze an isolated domain name, store the message, and cause a mitigation action. A non-transitory computer readable medium contains instructions that when executed, cause a computer to receive a message, enqueue the message, dequeue the message by a fraud detection service, analyze the message using a machine learning model, analyze an isolated domain name, store the message, and cause a mitigation action.