Abstract: A virtual mobile computing device with enhanced availability, flexibility, statefulness, and persistence features that allows the virtual mobile computing device be used to facilitate communications and transactions even where the owner or the owner’s physical mobile device are intermittently unavailable. The virtual mobile computing device is a containerized or virtual machine implementation of a mobile computing device tethered to a physical mobile device which allows for interactions to occur regardless of the network availability of the mobile device. In some embodiments, copies of, or links to functionality of, the virtual mobile computing device may be created to implement certain functionality, and may be passed from one entity in a transaction to another such entity. Depending on configuration, the virtual mobile computing device may reside on a server, or as hardware or firmware on the physical mobile computing device.

Abstract: A system and method for secure storage and management of transitory data, comprising at least a profile manager, a callback manager, a context analysis engine, and a vault manager, which allows a user to create a data container to store data preferences, which encrypts the data stored within a data container, which creates a password for accessing the data container, which temporarily stores the data container, which manages data container interactions between the system user and a second user, such as a business enterprise, and which establishes default preferences and creates a default container based upon context content data.

Abstract: A system and method for mobile device active callback prioritization, utilizing a callback prioritization engine operating on a user's mobile device for integration through the operating system and software applications operating on the device, wherein the callback prioritization engine intercepts data or voice messages sent to the mobile device, assigns the intercepted messages to a lobby construct, retrieves and aggregates data related to the assigned messages, inputs the assigned data message and aggregate data into one or more machine learning algorithms wherein the algorithms may analyze the input data, the results of the analysis may be used to compute a priority score for the assigned data message, and generates a callback list from the computed prioritization score.

Abstract: A system and method for secure storage and management of transitory data, comprising at least a profile manager, a callback manager, a context analysis engine, and a vault manager, which allows a user to create a data container to store data preferences, which encrypts the data stored within a data container, which creates a password for accessing the data container, which temporarily stores the data container, which manages data container interactions between the system user and a second user, such as a business enterprise, and which establishes default preferences and creates a default container based upon context content data.

Abstract: A system and method for a cloud callback platform, comprising at least a profile manager, callback manager, interaction manager, media server, context analysis engine, and context aggregator mechanism, allowing user to call business, agents in contact centers, or other users who are connected a cloud callback platform, and, failing to connect to the individual they called, or by request, allow for an automatic callback object to be created, whereby the two users may be automatically called and bridged together at a time when both users are available, and a context summary report is sent to one or more user.

Abstract: An adaptive cloud conversation platform capable of making automated decisions regarding when and how to establish on-going communications with consumers so as to maximize the relationship between the consumer and a given brand. The system has a connection management services layer which determines what communications should be established and how they should be established, an initiation management services layer which determines when communications should be established, and a user management services layer which stores information about consumers and brands for determination of when and how communications should be established. Certain of these services have machine learning algorithms incorporated into them trained to perform analyses of the particular type of operation handled by that service. The outputs of each service can be used as inputs to other services, such that a network of machine learnings algorithms is created which determines when and how to establish on-going communications with consumers.

Abstract: A system and method for a cloud callback platform, comprising at least a profile manager, callback manager, interaction manager, media server, context analysis engine, and context aggregator mechanism, allowing user to call business, agents in contact centers, or other users who are connected a cloud callback platform, and, failing to connect to the individual they called, or by request, allow for an automatic callback object to be created, whereby the two users may be automatically called and bridged together at a time when both users are available, and a context summary report is sent to one or more user.

Abstract: A system and method for secure storage and management of transitory data, comprising at least a profile manager, a callback manager, a context analysis engine, and a vault manager, which allows a user to create a data container to store data preferences, which encrypts the data stored within a data container, which creates a password for accessing the data container, which temporarily stores the data container, which manages data container interactions between the system user and a second user, such as a business enterprise, and which establishes default preferences and creates a default container based upon context content data.

Abstract: A system and method for mobile device active callback prioritization, utilizing a callback prioritization engine operating on a user's mobile device for integration through the operating system and software applications operating on the device, wherein the callback prioritization engine intercepts data or voice messages sent to the mobile device, assigns the intercepted messages to a lobby construct, retrieves and aggregates data related to the assigned messages, inputs the assigned data message and aggregate data into one or more machine learning algorithms wherein the algorithms may analyze the input data, the results of the analysis may be used to compute a priority score for the assigned data message, and generates a callback list from the computed prioritization score.

Abstract: An intermediary device to enhance and route data messages between end user and contact center agent computing devices in a contact center environment is provided. The intermediary device can be disposed in a data communication path of a contact center between an electronic communications network and a contact center agent computing device. The intermediary device can include a data message replication mechanism, a data message aggregator mechanism, or a data message analysis mechanism. The intermediary device can receive a data message. The data message replication mechanism can intercept and replicate the data message to generate a replicated data message. The data message analysis mechanism can generate, from the replicated data message, derivative content. The data message aggregator mechanism can combine the derivative content with the data message to create an enhanced data message that can be provided to the contact center agent computing device in the contact center environment.

Abstract: A system and method for secure storage and management of transitory data, comprising at least a profile manager, a callback manager, a context analysis engine, and a vault manager, which allows a user to create a data container to store data preferences, which encrypts the data stored within a data container, which creates a password for accessing the data container, which temporarily stores the data container, which manages data container interactions between the system user and a second user, such as a business enterprise, and which establishes default preferences and creates a default container based upon context content data.

Abstract: A system and method for mobile device active callback prioritization, utilizing a callback prioritization engine operating on a user's mobile device for integration through the operating system and software applications operating on the device, wherein the callback prioritization engine intercepts data or voice messages sent to the mobile device, assigns the intercepted messages to a lobby construct, retrieves and aggregates data related to the assigned messages, inputs the assigned data message and aggregate data into one or more machine learning algorithms wherein the algorithms may analyze the input data, the results of the analysis may be used to compute a priority score for the assigned data message, and generates a callback list from the computed prioritization score.

Abstract: A system and method for mobile device active callback prioritization, utilizing a callback prioritization engine operating on a user's mobile device for integration through the operating system and software applications operating on the device, wherein the callback prioritization engine intercepts data or voice messages sent to the mobile device, assigns the intercepted messages to a lobby construct, retrieves and aggregates data related to the assigned messages, inputs the assigned data message and aggregate data into one or more machine learning algorithms wherein the algorithms may analyze the input data, the results of the analysis may be used to compute a priority score for the assigned data message, and generates a callback list from the computed prioritization score.

Abstract: A system and method for mobile device active callback prioritization, utilizing a callback prioritization engine operating on a user's mobile device for integration through the operating system and software applications operating on the device, wherein the callback prioritization engine intercepts data or voice messages sent to the mobile device, assigns the intercepted messages to a lobby construct, retrieves and aggregates data related to the assigned messages, inputs the assigned data message and aggregate data into one or more machine learning algorithms wherein the algorithms may analyze the input data, the results of the analysis may be used to compute a priority score for the assigned data message, and generates a callback list from the computed prioritization score.

Abstract: A system and method for secure storage and management of transitory data, comprising at least a profile manager, a callback manager, a context analysis engine, and a vault manager, which allows a user to create a data container to store data preferences, which encrypts the data stored within a data container, which creates a password for accessing the data container, which temporarily stores the data container, which manages data container interactions between the system user and a second user, such as a business enterprise, and which establishes default preferences and creates a default container based upon context content data.

Abstract: A system and method for mobile device active callback prioritization, utilizing a callback prioritization engine operating on a user's mobile device for integration through the operating system and software applications operating on the device, wherein the callback prioritization engine intercepts data or voice messages sent to the mobile device, assigns the intercepted messages to a lobby construct, retrieves and aggregates data related to the assigned messages, inputs the assigned data message and aggregate data into one or more machine learning algorithms wherein the algorithms may analyze the input data, the results of the analysis may be used to compute a priority score for the assigned data message, and generates a callback list from the computed prioritization score.

Abstract: A system and method for a cloud callback platform, comprising at least a profile manager, callback manager, interaction manager, media server, context analysis engine, and context aggregator mechanism, allowing user to call business, agents in contact centers, or other users who are connected a cloud callback platform, and, failing to connect to the individual they called, or by request, allow for an automatic callback object to be created, whereby the two users may be automatically called and bridged together at a time when both users are available, and a context summary report is sent to one or more user.

Abstract: An intermediary device disposed in a contact center environment is provided. The intermediary device can receive a first data message. A lobby assignment mechanism can assign the first data message to a default lobby construct, and can obtain, from a contact center agent computing device, an indication of assignment of the first data message to a destination lobby construct that is different than the default lobby construct. The lobby assignment mechanism can link the first data message with the destination lobby construct based on a characteristic of the first data message. The intermediary device can receive a second data message, and can bypass the default lobby construct to assign the second data message to the destination lobby construct based on a characteristic of the second data message and the characteristic of the first data message.

Abstract: An intermediary device to enhance and route data messages between end user and contact center agent computing devices in a contact center environment is provided. The intermediary device can be disposed in a data communication path of a contact center between an electronic communications network and a contact center agent computing device. The intermediary device can include a data message replication mechanism, a data message aggregator mechanism, or a data message analysis mechanism. The intermediary device can receive a data message. The data message replication mechanism can intercept and replicate the data message to generate a replicated data message. The data message analysis mechanism can generate, from the replicated data message, derivative content. The data message aggregator mechanism can combine the derivative content with the data message to create an enhanced data message that can be provided to the contact center agent computing device in the contact center environment.

Abstract: An intermediary device disposed in a contact center environment is provided. The intermediary device can receive a first data message. A lobby assignment mechanism can assign the first data message to a default lobby construct, and can obtain, from a contact center agent computing device, an indication of assignment of the first data message to a destination lobby construct that is different than the default lobby construct. The lobby assignment mechanism can link the first data message with the destination lobby construct based on a characteristic of the first data message. The intermediary device can receive a second data message, and can bypass the default lobby construct to assign the second data message to the destination lobby construct based on a characteristic of the second data message and the characteristic of the first data message.