Abstract: A computer-implemented process receives, at a language interpretation platform from a customer service agent computing device, a request to establish a language interpretation session with a user. In addition, the computer-implemented process places a call from the language interpretation platform to a user mobile computing device. The computer-implemented process, upon the user not answering the call, automatically transmits a message to the user mobile computing device indicating one or more language interpretation connection options. Additionally, the computer-implemented process establishes, via the language interpretation platform, a language interpretation session between the customer service agent computing device, a language interpreter computing device, and the user mobile computing device based on the one or more language interpretation options.

Abstract: A computer-implemented process computer-implemented process renders, at an EMR device positioned at a healthcare provider location, an EMR user interface to access EMR data of a patient. Furthermore, the computer-implemented process receives, via a language interpretation request indicum of the EMR user interface, a request for language interpretation. The computer-implemented process sends, from the EMR device to an EMR server, the EMR data of the patient. Additionally, the computer-implemented process receivers, from the EMR server at the EMR device, a visual code indicium. Finally, the computer-implemented process renders, at the EMR device, the visual code indicium to link the EMR device with a language interpretation device also positioned at the healthcare provider location such that the language interpretation device renders a language interpretation session between a healthcare provider and the patient without being rendered by the EMR device.

Abstract: A mobile language interpretation platform has a mobile support device. Further, the mobile language interpretation platform has one or more wheels attached to the mobile support device. Moreover, the mobile language interpretation platform has a computing device operably attached to the mobile support device. The computing device has a receiver that receives, from a context-specific server, a request for a context-specific service pertaining to a contextual environment in which the mobile language interpretation platform is physically located. Additionally, the computing device has a processor that performs the context-specific service and establishes a language interpretation session between at least one user situated at the mobile language interpretation platform and a remotely-situated language interpreter. Finally, the computing device has a transmitter that sends data pertaining to the context-specific service to the context-specific server.

Abstract: A computer-implemented contact center platform has a receiver that receives a service request for a service provided by a remotely situated service server. Further, the computer-implemented contact center platform has a transmitter that sends, to a customer relationship management system via a network, a data request for data pertaining to the service request via a first function call through an application programming interface corresponding to a remotely-situated customer relationship management system that stores one or more records pertaining to the service. The computer-implemented contact center platform is distinct from the remotely-situated customer relationship management system. Further, the computer-implemented contact center platform has a memory device have a data cache that stores the data pertaining to the service request.

Abstract: A computer-implemented process receives, during a telehealth conference, an interpreter invitation according to a modality generated through a user interface at a provider computing device operated by the healthcare provider. An example of a modality is a web form, email, hyperlink, phone call via an interactive voice recognition system, mobile software application, desktop tool tray software application, text message, calendar invitation, QR code, or the like. The computer-implemented process routes the interpreter invitation from the telehealth platform to a language interpretation platform that extracts an invitation request payload from the interpreter invitation and routes the invitation request payload, through an automatic call distribution network, to a next available language interpreter operating a language interpreter workstation such that the language interpreter workstation automatically selects a plugin according to a teleconference platform indicated by the invitation request payload.

Abstract: A process generates, at a language interpretation platform, a graphical user interface that manages a connection time between a user-operated device and a language interpreter-operated device. Further, the process receives, from the graphical user interface of the user-operated device, a request for a live language interpretation session. The process determines, from the graphical user interface of the user-operated device, an activation of a queue prioritization status. The activation is selected from the group consisting of: an automatic account activation, a user-inputted activation via a virtual indicium in the graphical user interface, and an environmental activation. Finally, the process assigns, to the graphical user interface of the user-operated device, the prioritization status to the user-operated device to prioritize the connection time in a queue of waiting devices.

Abstract: A process generates, at a language interpretation platform, a graphical user interface that manages a connection time between a user-operated device and a language interpreter-operated device. Further, the process receives, from the graphical user interface of the user-operated device, a request for a live language interpretation session. The process determines, from the graphical user interface of the user-operated device, an activation of a queue prioritization status. The activation is selected from the group consisting of: an automatic account activation, a user-inputted activation via a virtual indicium in the graphical user interface, and an environmental activation. Finally, the process assigns, to the graphical user interface of the user-operated device, the prioritization status to the user-operated device to prioritize the connection time in a queue of waiting devices.

Abstract: A mobile language interpretation platform has a mobile support device. Further, the mobile language interpretation platform has one or more wheels attached to the mobile support device. Moreover, the mobile language interpretation platform has a computing device operably attached to the mobile support device. The computing device has a receiver that receives, from a context-specific server, a request for a context-specific service pertaining to a contextual environment in which the mobile language interpretation platform is physically located. Additionally, the computing device has a processor that performs the context-specific service and establishes a language interpretation session between at least one user situated at the mobile language interpretation platform and a remotely-situated language interpreter. Finally, the computing device has a transmitter that sends data pertaining to the context-specific service to the context-specific server.

Abstract: A configuration is implemented to generate, with a processor, an image and audio user interface which has a language identification indicium that is image-based. Further, the configuration sends, with the processor, the image and audio user interface to a computing device so that the image and audio user interface is displayed to a user. Moreover, the configuration receives, with the processor, audio data captured by the computing device from a user positioned at the computing device upon activation of the language identification indicium. Additionally, the configuration performs, with the processor, an audio analysis on the captured audio data to identify a language spoken by the user. Finally, the configuration establishes, with the processor, a language interpretation session between the computing device and a communication device associated with a language interpreter based on the identified language.

Abstract: A computer-implemented contact center platform has a receiver that receives a service request for a service provided by a remotely situated service server. Further, the computer-implemented contact center platform has a transmitter that sends, to a customer relationship management system via a network, a data request for data pertaining to the service request via a first function call through an application programming interface corresponding to a remotely-situated customer relationship management system that stores one or more records pertaining to the service. The computer-implemented contact center platform is distinct from the remotely-situated customer relationship management system. Further, the computer-implemented contact center platform has a memory device have a data cache that stores the data pertaining to the service request.

Abstract: A configuration is implemented via a processor to receive a request to perform a service. Further, the configuration selects a human representative from a plurality of human representatives associated with a communication center based on a computing device associated with the human representative indicating that the human representative is online and available to perform the service. In addition, the configuration routes the request to the computing device associated with the human representative. The configuration also monitors activity of the human representative at the computing device associated with the human representative. Further, the configuration determines that the activity of the human representative is inconsistent with the human representative being available to perform the service. Finally, the configuration reroutes the request to a different computing device associated with a different human representative.

Abstract: A configuration is implemented to generate, with a processor, an image and audio user interface which has a language identification indicium that is image-based. Further, the configuration sends, with the processor, the image and audio user interface to a computing device so that the image and audio user interface is displayed to a user. Moreover, the configuration receives, with the processor, audio data captured by the computing device from a user positioned at the computing device upon activation of the language identification indicium. Additionally, the configuration performs, with the processor, an audio analysis on the captured audio data to identify a language spoken by the user. Finally, the configuration establishes, with the processor, a language interpretation session between the computing device and a communication device associated with a language interpreter based on the identified language.

Abstract: A configuration is implemented to receive, with a processor from a customer care platform, a request for spoken language interpretation of a user query from a first spoken language to a second spoken language. The first spoken language is spoken by a user situated at a display-based device that is remotely situated from the customer care platform. The user query is sent from the display-based device by the user to the customer care platform. The configuration performs, at a language interpretation platform, a first spoken language interpretation of the user query from the first spoken language to the second spoken language. Further, the configuration transmits, from the language interpretation platform to the customer care platform, the first spoken language interpretation so that a customer care representative speaking the second spoken language understands the first spoken language being spoken by the user.

Abstract: A configuration provides quality control compliance for a plurality of machine language interpreters. A processor receives a plurality of requests for human-spoken language interpretation from a first human-spoken language to a second human-spoken language. Further, processor routes the plurality of requests to a plurality of machine language interpreters. In addition, an artificial intelligence system associated the plurality of machine language interpreters determines one or more quality control criteria. The processor also monitors compliance of the one or more quality control criteria by the plurality of machine language interpreters during simultaneously occurring machine language interpretations performed by the machine language interpreters.

Abstract: A configuration is implemented to receive, with a processor from a customer care platform, a request for spoken language interpretation of a user query from a first spoken language to a second spoken language. The first spoken language is spoken by a user situated at a display-based device that is remotely situated from the customer care platform. The user query is sent from the display-based device by the user to the customer care platform. The configuration performs, at a language interpretation platform, a first spoken language interpretation of the user query from the first spoken language to the second spoken language. Further, the configuration transmits, from the language interpretation platform to the customer care platform, the first spoken language interpretation so that a customer care representative speaking the second spoken language understands the first spoken language being spoken by the user.

Abstract: A configuration is implemented via a processor to receive a request for spoken language interpretation of a user query from a first spoken language to a second spoken language. The first spoken language is spoken by a user situated at an audio-based device that is remotely situated from the customer care platform. The user query is sent from the audio-based device by the user to the customer care platform. The configuration performs, at a language interpretation platform, a first spoken language interpretation of the user query from the first spoken language to the second spoken language. Further, the configuration transmits, from the language interpretation platform to the customer care platform, the first spoken language interpretation so that a customer care representative speaking the second spoken language understands the first spoken language being spoken by the user.

Abstract: A configuration receives, with a processor, a request for a voice-based, human-spoken language interpretation from a first human-spoken language to a second human-spoken language. Further, the configuration routes, with the processor, the request to a device associated with a remotely-located human interpreter. In addition, the configuration receives, with the processor, audio in the first human-spoken language from a telecommunication device. The configuration also augments, in real-time with the processor, the audio with one or more visual features corresponding to the audio. Further, the configuration sends, with the processor, the augmented audio to the device associated with the human interpreter for the voice-based, human-spoken language interpretation to be based on the augmented audio in a simulated video remote interpretation session.

Abstract: A configuration is implemented via a processor to receive a request to perform a service. Further, the configuration selects a human representative from a plurality of human representatives associated with a communication center based on a computing device associated with the human representative indicating that the human representative is online and available to perform the service. In addition, the configuration routes the request to the computing device associated with the human representative. The configuration also monitors activity of the human representative at the computing device associated with the human representative. Further, the configuration determines that the activity of the human representative is inconsistent with the human representative being available to perform the service. Finally, the configuration reroutes the request to a different computing device associated with a different human representative.

Abstract: A process is provided. The process receives, at a mobile computing device, audio content via a communication application that provides a voice-based communication between a first user and a second user through a computerized network. Further, the process amplifies, via an acoustic amplification device, the audio content. In addition, the process delivers the audio content through a receptacle that receives the mobile computing device. The receptacle is integrated with the acoustic amplification device.

Abstract: A configuration provides quality control compliance for a plurality of machine language interpreters. A processor receives a plurality of requests for human-spoken language interpretation from a first human-spoken language to a second human-spoken language. Further, processor routes the plurality of requests to a plurality of machine language interpreters. In addition, an artificial intelligence system associated the plurality of machine language interpreters determines one or more quality control criteria. The processor also monitors compliance of the one or more quality control criteria by the plurality of machine language interpreters during simultaneously occurring machine language interpretations performed by the machine language interpreters.