Abstract: A system and method for intent-based active callback management using enhanced callback objects, utilizing a cloud callback system comprising at least a profile manager, callback manager, interaction manager, media server, and environment analyzer, allowing users to call businesses, agents in contact centers, or other users who are connected to a cloud callback system, and, failing to connect to the individual they called, 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.

Abstract: A system and method for managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events.

Abstract: A system and method for managing virtual queues with user-level targeted interactions. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates such as targeted interactions in the form of products, services, and callback opportunities based on analysis of entity data, user-specific data, and data associated with all persons or groups at a given location, both physical or virtual.

Abstract: A system and method for managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources such as schedule data and historical throughput data for various resources associated with an entity, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events.

Abstract: An adaptive cloud conversation ecosystem that expands on the capabilities of an adaptive cloud conversation platform by allowing for integration of conversations across brands with a single consumer account and incorporation of edge computing data from multiple consumer devices into brand and consumer decision-making. The core of the ecosystem is 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. Adaptive ecosystem applications expand on the capabilities of platform by providing context-specific utilities that are compatible with platform and therefore capable of applying the adaptive conversation platform's capabilities to a variety of subject matters.

Abstract: An adaptive cloud conversation ecosystem that expands on the capabilities of an adaptive cloud conversation platform by allowing for integration of conversations across brands with a single consumer account and incorporation of edge computing data from multiple consumer devices into brand and consumer decision-making. The core of the ecosystem is 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. Adaptive ecosystem applications expand on the capabilities of platform by providing context-specific utilities that are compatible with platform and therefore capable of applying the adaptive conversation platform's capabilities to a variety of subject matters.

Abstract: A system and method for intent-based active callback management, utilizing a cloud callback system comprising at least a profile manager, callback manager, interaction manager, media server, and environment analyzer, allowing users to call businesses, agents in contact centers, or other users who are connected to a cloud callback system, and, failing to connect to the individual they called, 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.

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: An adaptive cloud conversation platform capable of making automated decisions regarding when and how to establish ongoing 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 ongoing communications with consumers.

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 managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events.

Abstract: A system and method for user, device, and transaction authentication and callback management, utilizing a cloud platform, a digital ledger, an authentication manager, and smart callback contracts, brokering user to user communications and session establishment using an automated workflow built upon extensible root smart contract templates which can be configured to connect various users and brands. Historical user identifier and behavior data may be stored in a blockchain and/or smart callback contract and compared against current user data to authenticate and validate a user, prior to the execution of the smart callback contract, all in a way that is transparent and autonomous to the user. The system may comprise clout platform, that may further comprise a callback manager, a brand interface server, an interaction manager, a media server, one or more blockchain digital ledgers, and various smart contracts which are used to autonomously respond to received user requests.

Abstract: A system and method for hybrid callback management with transparent user authentication, utilizing a callback cloud and an on-premise callback system, allowing users to be verified via his or her biometrics, and also allowing brands to utilize a hybrid system that protects against any premise outages or cloud service faults and failures by introducing redundancies and co-maintenance of data key to callback execution.

Abstract: A system and method for secure storage and management of transitory data using a blockchain, comprising at least a callback manager, a context analysis engine, a vault manager, and a blockchain manager, which allows a user to create a data container to store data preferences, which encrypts the data stored within a data container, and which stores the encrypted data container in a blockchain. For each block, block reference data may is generated comprising the location of the block and its associated decryption key, and the block reference data is then encrypted with a second encryption key and stored off the blockchain in a separate database. The second key is distributed to involved parties to permit access to and reading of the block reference data. The block reference data is deleted based on self-destruct event triggers or when the involved parties are finished accessing the block reference data.

Abstract: A system and method for managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources such as schedule data and historical throughput data for various resources associated with an entity, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events.

Abstract: A system and method for mobile device active callback integration, utilizing a callback integration engine operating on a user's mobile device that present a callback token for integration through the operating system and software applications operating on the device, wherein interacting with the callback token produces a callback object used to execute a callback incorporating device hardware, context, scheduling, and trust information.

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 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 intent-based active callback management using enhanced callback objects, utilizing a cloud callback system comprising at least a profile manager, callback manager, interaction manager, media server, and environment analyzer, allowing users to call businesses, agents in contact centers, or other users who are connected to a cloud callback system, and, failing to connect to the individual they called, 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.