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: Prioritizing a customer service agent's responses to customer messages. In one form, an expected response time target is determined based on a time interval between sending an agent response and receiving a customer response from a particular customer. In other forms, other objective factors, such as message intervals, customer properties, and message properties, are used to determine the expected response time target. In yet other forms, a customer conversation can be automatically closed if the customer does not respond within a predetermined maximum time interval.

Abstract: A system for transitioning a telephony or in-person servicing to and from an artificial intelligence (AI) chat session may receive a phone call from a user device associated with a user, and transmit a voice request for personally identifiable information associated with the user. The system may also receive and authenticate the requested personally identifiable information and, in response, generate an authentication token. The system may further receive a servicing intent from the user device, and generate a corresponding servicing intent token. Also, the system may generate an API call to an AI chatbot model, transmit the authentication token and the servicing intent token to the AI chatbot model, and map the servicing intent token to a stored servicing intent. Finally, the system may transmit a message to the user device via the AI chat session.

Abstract: Techniques for behavioral pairing in a task assignment system are disclosed. In one particular embodiment, the techniques may be realized as a method for behavioral pairing in a task assignment system comprising: determining, by at least one computer processor communicatively coupled to and configured to operate in the task assignment system, a priority for each of a plurality of tasks; determining, by the at least one computer processor, an agent available for assignment to any of the plurality of tasks; and assigning, by the at least one computer processor, a first task of the plurality of tasks to the agent using a task assignment strategy, wherein the first task has a lower-priority than a second task of the plurality of tasks.

Abstract: Systems and methods include connecting to and authenticating a plurality of user devices; utilizing a plurality of RESTful (Representational State Transfer web service) endpoints to communicate with the plurality of user devices; providing any of policy and configuration to the plurality of user devices utilizing version number via a RESTful endpoint; caching the any of policy and configuration for each device of the plurality of user devices; and receiving metrics based on measurements at the plurality of user devices according to corresponding policy and configuration, via a RESTful endpoint.

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: Described are a method, system, and computer program product for accessing data about a caller from multiple data sources in real time. The method includes communicatively connecting with call handling equipment and receiving caller data including a unique caller identifier. The method also includes communicating a request for initial information to a location information database and/or an additional data repository. The method further includes reconfiguring the initial information from an inbound format to a different outbound format such that the initial information is readable by the call handling equipment, a computer aided dispatch system, and/or a public safety information management system. The method further includes communicating a request for and receiving additional information from a cloud-based repository.

Abstract: A system and method for calculating a journey excellence score (JES) for a customer journey in a contact center, including, during a training phase: representing each of a plurality of tagged customer journeys by a list of attributes and a value associated with each of the attributes, wherein each of the tagged customer journeys is tagged with respect to a dissatisfaction indicator, and training a model using the plurality of tagged customer journeys, based on the associated values and tags, to generate model weights; and at runtime: obtaining the customer journey; representing the customer journey by the list of attributes and a value associated to each of the attributes; and calculating the JES for the customer journey by applying the model weights to the associated values.

Abstract: A method for using piecewise forecasts involves obtaining, by a model discovery service, a plurality of models and generating, by a demand prediction service, a plurality of values for a time series variable. The plurality of values corresponding to a plurality of days to be predicted. The method further involves inputting the plurality of values for the time series variable as part of a piecewise forecast to a headcount estimation service and generating, by the headcount estimation service with the piecewise forecast, an estimated headcount from the time series variable.

Abstract: A system for conducting multi-session user interactions accesses a first interaction session between the user and a first entity, where the first interaction session is via a first communication channel. The system determines first context information associated with the first interaction session, where the first context information associated with the first interaction session comprises a summary associated with the first interaction session. The system generates a token identifier (ID) uniquely identifying the user and the first context information. The system associates the token ID to the user interaction information. The system accesses a second interaction session between the user and a second entity, wherein the second interaction session is via a second communication channel. The system authenticates the user based at least in part upon the token ID. The system communicates the first context information associated with the first interaction session to the second entity.

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: Present embodiments are directed to a virtual agent with improved natural language understanding (NLU) capabilities. The disclosed virtual agent enables topic selection and topic changes during natural language exchanges with a user. The virtual agent is designed to select suitable topic flows to execute based on intents identified in received user utterances, including selection of an initial topic flow in response to a topic identified in a first user utterance, as well as switching between topic flows mid-conversation based on identified topic changes. The virtual agent is also capable of considering all intents and entities conveyed during the conversation, which enables the virtual agent to avoid prompting the user to provide redundant information. Furthermore, the virtual agent is capable of executing topic flows as part of a global topic flow, which enables the virtual agent to perform a number of predefined activities as part of each interaction with the user.

Abstract: A contact center network including a contact center unit connected via a communication network to a plurality of agents and to a plurality of IoT devices, wherein each one of the plurality of IoT devices is equipped with sensor devices adapted to measure predetermined IoT measurement data, and at least one actuator device adapted to control the IoT device remotely, wherein the contact center unit is connectable to the sensor devices and the actuator devices via a IoT middleware unit adapted to receive an incident notification, if sensor measurement data matches a predetermined criterion indicating an incident, and wherein the contact center unit includes a routing unit adapted to route a contact based on the incident information comprised in the incident notification to an agent. Further, embodiments relate to a method for establishing a communication session in a contact center network.

Abstract: A system for transitioning a telephony or in-person servicing to an artificial intelligence (AI) chat session. The system may receive a phone call from a user device associated with a user, and transmit a voice request for personally identifiable information associated with the user. The system may also receive and authenticate the requested personally identifiable information and, in response, generate an authentication token. The system may further receive a servicing intent from the user device, and generate a corresponding servicing intent token. Also, the system may generate an API call to an AI chatbot model, transmit the authentication token and the servicing intent token to the AI chatbot model, and map the servicing intent token to a stored servicing intent. Finally, the system may transmit a message to the user device via the AI chat session.

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: The subject application relates to telecommunication networks and more particularly, to a method and system for managing and allocating wireless network resources to optimize User satisfaction. One aspect of the invention is directed to a system comprising a wireless base station; a user device; and a wireless network connecting said wireless base-station to said user device; said wireless base station being operable: to employ a ‘zone of tolerance’ to model user satisfaction; and to respond to a request from said user device to access network resources, by allocating network resources based on said ‘zone of tolerance’ model. Other aspects of the invention are also shown and described including a system and method of allocating network resources based on an AI-Enabled and Big Data-Driven Multi-Objective Optimization Process.

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: There is a need for faster and more accurate predictive data analysis steps/operations. This need can be addressed by, for example, techniques for efficient predictive data analysis steps/operations. In one example, a computer-implemented method for generating a predictive output with respect to a primary audio data embedding data object associated with a primary audio data object, is provided. The method includes generating, using one or more computer processors, by utilizing a similarity determination machine learning model and based at least in part on the primary audio data embedding data object, the predictive output for the primary audio data embedding data object; generating, by the one or more computer processors, a forwarding recommendation prediction based at least in part on the predictive output; and performing, by the one or more computer processors, one or more prediction-based actions based at least in part on the forwarding recommendation prediction.

Abstract: The present disclosure provides an apparatus and system for remote health applications that are compliant with Health Insurance Portability and Accountability Act (HIPAA). The apparatus includes an adjustable stand to accommodate a digital communications device such as a tablet or smart phone. The dock is further operatively coupled to one or more sensors attached to a patient to monitor health parameters of the patient. A similar dock s provided with a medical care provider. The docks are registered, and as authentication, any exchange of information can occur only between registered docks. A simultaneous audio-video communication between the patient and the medical care provider and exchange medical and non-medical data that is governed by HIPAA can occur between the registered docks.

Abstract: Systems and methods are disclosed for generating a dynamic customized script to facilitate communication between a user and a service provider. The method includes receiving, via an interactive voice response (IVR) system, a request from a mobile device associated with at least one user. The contextual information associated with at least one user is processed, in real-time, based, at least in part, on the request. A dynamic customized script specific to the request is generated, in real-time, based, at least in part, on the processing of the contextual information. The request is routed, via the IVR system, to an agent from a pool of agents of the service provider. A presentation of the dynamic customized script is generated in a user interface of a device associated with the agent, wherein the dynamic customized script is step-by-step guidance to the agent for handling the request of at least one user.

Abstract: Systems and methods receiving call center network architecture data associated with a call center network; utilizing the call center network architecture data to create a model of the call center network; employing the model to run a simulation of the call center network that generates performance data associated with the model; using the model to generate solution parameters for the call center network; and providing the solution parameters to the call center network implementation in the call center network.

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: Popopmomom and Kiddoflock apps using AI bots lets the family member to share memories and life experiences with other family members in most easiest and in a more secure way. AI BOT automatically builds the biography once all the questions are answered by the Popopmomom user.

Abstract: System, methods, and apparatuses for an artificial intelligence (AI) toy with improved conversational dialogue and personality development. The AI toy determines responses to stimuli based on user profiles and personality profiles that are developed through user interaction and external media inputs. Natural Language Processing (NLP) and other semantic interaction processing is paired with the profiles to develop AI personality and conversational ability.

Abstract: A system and method for hybrid callback management with biometric 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: Systems and methods are provided for dynamic routing of an automated telephony system. The automated telephony system facilitates functions desired by a caller, via an automated call with the caller. A machine-learning analysis system extracts data from the automated call, performs machine-learning via the extracted data to identify a likely motivation of the caller associated with the automated call, and provides the likely motivation to the automated telephony system. The automated telephony system then receive the likely motivation from the machine-learning analysis system and dynamically routes the automated call based upon the likely motivation.

Abstract: Technology is described for routing communications between contacts and agents. Associations may be generated between agents and contacts who intend to communicate with the agents. Weightings for the associations between the agents and the contacts may be determined using a machine learning model to produce weighted associations. The weightings may represent a predicted interaction metric between the agents and the contacts. Selected pairs of agents and contacts may be determined by applying matching rules to the weightings. Communications may be routed between the contacts and the agents in accordance with the selected pairs of agents and contacts.

Abstract: Aspects of the disclosure relate to using machine learning for optimized call routing. A computing platform may receive requests to establish a voice call session. Based on corresponding phone numbers, the computing platform may identify demographic information for corresponding clients. Using a machine learning model and based on the demographic information and representative performance data, the computing platform may score potential client-representative combinations to indicate likelihoods of a successful outcome resulting from establishing a voice call session between the respective client and representative. Scoring the potential client-representative combinations may be based on fall off rates, indicating changes in representative effectiveness as hold time increases. The computing platform may adjust the scores based on a historical frequency of interaction between each representative and clients corresponding to the identified demographic information.

Abstract: Systems and methods are described for responding to a search query with a contextually relevant voice output. An illustrative method receives a search query, determines an answer to the search query, identifies a media content reference included in the search query, determines, based on the media content reference, a personality associated with the media content reference, identifies a voice profile of the personality, and generates audio output using the voice profile of the personality, the audio output including the answer to the search query.

Abstract: Described are a method, system, and computer program product for accessing data about a caller from multiple data sources in real time. The method includes communicatively connecting with call handling equipment and receiving caller data including a unique caller identifier. The method also includes communicating a request for initial information to a location information database and/or an additional data repository. The method further includes reconfiguring the initial information from an inbound format to a different outbound format such that the initial information is readable by the call handling equipment, a computer aided dispatch system, and/or a public safety information management system. The method further includes communicating a request for and receiving additional information from a cloud-based repository.

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: The present invention relates to a method for automatically registering a user in a desk-share environment comprising a plurality of desks, each desk being equipped with an IP telephone connected to a communication network, in particular, to a local area network, wherein the IP telephone holds a data base comprising data of all desk-share users of the desk-share environment, the data comprising at least a user ID and a MAC address of a terminal device for each user assigned to a user profile, the method comprising the steps of: receiving, at the IP telephone, an IP data packet from a first terminal device via the communication network; verifying the MAC address in the IP data packet received from the first terminal device; and when the MAC address corresponds to a MAC address in the data of the data base, activating the user profile assigned to the MAC address in the IP telephone.

Abstract: The present application describes providing an attestation level to a received communication. The attestation level may be used to communicate a level of security to a network or a called party that receives the communication. The attestation level associated with the communication may indicate to a destination network and/or recipient that the phone number associated with the communication is secure and/or the telephone number has not been spoofed.

Abstract: Techniques for behavioral pairing in a task assignment system are disclosed. In one particular embodiment, the techniques may be realized as a method for behavioral pairing in a task assignment system comprising: determining, by at least one computer processor communicatively coupled to and configured to operate in the task assignment system, information about a task waiting for assignment in the task assignment system; and selecting, by the at least one computer processor, a hold activity from a plurality of hold activities for the task based on the information about the task, wherein the selected hold activity is expected to improve performance of the task assignment system.

Abstract: Systems and methods for computing communication matrices based on opportunity scoring of a plurality of network-connected user devices. In a preferred embodiment of the invention, a scoring algorithm may compute an opportunity score for future delivery of interactions comprising parameters such as a cumulative time comprising historic and real-time communication time between a client device with an agent; geographic location and distance between a client device and an agent device; a quantity of direct connections for one or more client devices associated to an agent device; a quantity of indirect connections for one or more client devices associated to the agent device; quantity metrics associated to an agent device, for example, a total number of registrations. An interaction manager then routs interactions based on scoring of agent devices.

Abstract: A sorter of medical findings for assessment by a medical coder is provided. In some embodiments, the sorter receives information about a user (coder), including identification, a role, and historical activity. The sorter determines whether to run in exploration or exploitation modes. Exploration is used to explore the scope of the findings and also identify variables that impact a finding. Exploitation is designed to maximize a goal (such as throughput or profitability). Lastly a finding is selected and provided to the user. The selection is based upon computing internal parameters when in exploration, or based upon optimizing for criteria when in exploitation. The sorter may also determine competency for the user, and cut them off from performing additional coding if they are found incompetent.

Abstract: There are provided a method, a system configured to perform the method, and a computer program product comprising instructions which when executed by processing circuitry of the system cause the system to perform the method. The method comprises determining, by at least one computer processor communicatively coupled to and configured to operate in a contact center system, a plurality of available contacts, wherein each of the plurality of available contacts is available for pairing to an agent of a plurality of agents using either a first pairing strategy or a second pairing strategy, wherein the first pairing strategy is different from the second pairing strategy.

Abstract: Contact centers often provide a restricted amount of time for agents to perform post-call activities, including identifying and selecting a relevant completion code from a large set of codes. Providing automated systems and methods to identify the relevant code or codes can present a limited number of the codes (e.g., quick release codes) to the agent and/or automatically enter the completion code. When the quick release code is entered, the record of the call is then updated with the code and the communication is terminated as a single step.

Abstract: Embodiments of this application disclose a data transmission method. The data transmission method includes establishing, by a station, a multi-link to an access point, the multi-link instructing the access point to provide at least a first frequency band and a second frequency band, and the first frequency band and the second frequency band being two different frequency bands; transmitting, by the station, a first data packet to the access point on the first frequency band; and transmitting, by the station, a second data packet to the access point on the second frequency band, wherein the access point removes the first data packet or the second data packet according to a data transmission status, the second data packet and the first data packet transmitting same service data.

Abstract: A method for resolving customer requests that includes: providing a personal bot assistant and an asynchronous resolution facilitator; receiving a customer request from a first customer and producing a transcript thereof; determining an intent based on the transcript and customer information relating to the determined intent; transmitting an initial set of data to the asynchronous resolution facilitator and assembling therefrom a resolution package that includes an agent interface showing information required to expeditiously resolve the customer request including one or more recommended business processes; displaying the agent interface on a screen of the agent device; receiving input from the agent device that indicates the agent has completed preparing a resolution for the customer request; and providing notification to the first customer of the achieved resolution via the personal device of the first customer.

Abstract: The present invention relates to device, system and method for determining a priority level and/or conversation duration of a call. An improved and adaptive device comprises a signal input (31) for obtaining an image data signal (21) of a user initiating a call, a physiological data extraction unit (32) for extracting physiological data (22) of the user from the obtained image data signal (21), a health condition determination unit (33) for determining the health condition (23) of the user based on the extracted physiological data, and a prioritization unit (34) for determining the priority level and/or conversation duration (24) of the call based on the determined health condition of the user.

Abstract: A method, non-transitory computer readable medium, and mobile application manager computing device that determines a priority level for a mobile device requiring a compliance check based on characteristic data associated with, or an identified user of, the mobile device. An entry comprising identifying data for the mobile device is inserted into a processing queue associated with the priority level. A determination is made when each of the processing queues associated with a higher priority level than the one priority level is empty. The entry is retrieved from the processing queue, the compliance check is performed on the mobile device, and a status of the mobile device is marked as out-of-compliance or in-compliance based on a result of the compliance check, when the determining indicates each of the processing queues associated with a higher one of the priority levels than the one priority level determined for the mobile device is empty.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining a transfer option for transferring a call. One of the methods include receiving, by a call assistant engine, a keyword related to information provided by a user to an agent during a call; generating, by the call assistant engine, follow-up questions to be displayed on a user device of the agent in an interactive format, the first follow-up question being generated based on the keyword, each of the following follow-up questions being generated based on an answer of the agent to the previous question; and determining, by the call assistant engine, based on answers of the agent to the follow-up questions, a transfer option for transferring the call.

Abstract: Methods and systems for facilitating communication sessions between multiple communication points. The method includes receiving a communication request from a first user device associated with a first user, through a first communication point. The first communication point may be enabled with a context-to-call (C2C) feature. The method further includes determining a first communication mode selected by the first user device through the first communication point. The method includes identifying a second communication mode selected by a second user device associated with a second user. The method further includes processing the communication request based, at least in part, on a matching between the first communication mode and the second communication mode. The method further includes transmitting the communication request from the first user device to the second user device. The method includes initiating a communication session based on the processing step.

Abstract: Embodiments described herein provide an optimal communication channel recommendation engine by assessing whether the environment the customer is situated in is conducive to the channel selected by the customer. Specifically, the optimal channel recommendation engine obtains data artifacts indicative of ambient noise, motion, customer sentiment, network quality, customer focus, and/or the like to assess quality of the environment and recommend an optimal channel for the communication between the customer and the call agent. With the recommendation to switch to a different channel, the client component resumes communication with the new channel and retains the context of the interaction.

Abstract: The technology disclosed herein enables a call to be immediately reconnected to the same agent of a contact center after the agent has been disconnected while the caller remains connected to the contact center. A method provides determining that a first agent system, operated by a first agent of the contact center, has been disconnected from a communication session between the first agent system and a first caller system, operated by a first caller, due to a non-recoverable error. The first caller system remains connected to the contact center. The method further provides generating identification information that identifies the communication session and generating a link to join the communication session that includes the identification information. The method also provides transferring the link to a second agent system operated by the first agent. The second agent system is connected to the communication session when the second agent system follows the link.

Abstract: Disclosed herein is a multiprocessor system for facilitating real-time multitasking processing. The multiprocessor system may include a task scheduler and a plurality of processors. Further, the task scheduler may be configured for receiving an event associated with the multiprocessor system, evaluating a plurality of task priorities associated with a plurality of tasks based on the event, determining a plurality of new task priorities for the plurality of tasks and assigning the plurality of tasks to a plurality of lists based on the determining. Further, the plurality of processors may be communicatively coupled with the task scheduler. Further, the plurality of processors serves the plurality of lists. Further, a processor of the plurality of processors may be configured for processing the plurality of tasks assigned to a list of the plurality of lists based on the plurality of new task priorities.

Abstract: A method, a computer program product, and a computer system determine when to transfer a communication session from an agent to a bot. The method includes monitoring the communication session between the agent and a user. The method includes determining a continuing utility value indicating a predicted continuing cost to maintaining the communication session with the agent. The continuing utility value is indicative of a predicted continuing benefit to maintaining the communication with the agent. The method includes determining a transferring utility value indicating a predicted transferring cost to transferring the communication session from the agent to the bot. The transferring utility value is indicative of a predicted transferring benefit to transferring the communication session from the agent to the bot. The method includes, as a result of the predicted transferring benefit being greater than the predicted continuing benefit, transferring the communication session from the agent to the bot.

Abstract: A computerized method for enhancing agent's efficiency in a contact center by orchestrating a multi-agent to multi-contact attribute-based routing while maintaining seamless contact interaction is provided herein. The computerized method receives a request for service and in response may operate an orchestration engine. The orchestration engine derives contact related information from the communication channel to yield at least one contact attribute and according to a preconfigured set of rules and the agent's availability state, perform attribute-based routing of the request for service to one or more agents and designate a primary agent to handle the request for service and one or more agents as secondary agents. once an interaction between the one or more agents and the contact has commenced the computerized method sends information related to the handled request to the one or more designated secondary agents' and enable them to participate in the interaction via a display.

Abstract: Techniques for managing transmission rates for users from each of a plurality of call engines (CEs) distributed on a communications network are provided. A list of users with at least one pending call in a corresponding queue from all other CEs is received, wherein each user's queue has a maximum queue depth calculated, in part, using a capped transmission rate in calls per second (CPS) for each user associated with their queue. It is determined, for each user, a total number of CEs having at least one pending call in their corresponding queue. A current CE transmission rate is calculated for each user by dividing the capped transmission rate for each user by the total number of CEs having at least one pending call in their corresponding queue. The current CE transmission rate indicates a rate at which calls in each user's queue are dequeued at each of the plurality of CEs.