MITEL NETWORKS CORPORATION

A method and a system for enhanced information broadcasting are disclosed. A method according to the present invention may leverage artificial intelligence (AI) to convert spoken words into video clips in real time. The duration of these clips may be designed to be flexible, even in a customizable manner: long enough to capture the essence of the content being presented, yet short enough to maintain the natural flow of the conversation. Thus, the present invention offers tailored video content to meet real time needs of meeting participants by adapting to individual roles, priorities, and even calendar availability. The present invention dynamically segments and adjusts content based on user focus areas, job role and engagement levels, creating more relevant, role-specific visualizations. Additionally, the present invention offers interactivity during meetings in a way that users can request, modify, or view content in alternative formats.

The invention relates to a method and a system for generating accurate speech-to-text transcriptions in communication sessions. The invention uses a hybrid approach leveraging the strengths of both, machine learning models and traditional NLP techniques. Thus, the present invention allows for maintaining transcription quality and context awareness while keeping compute costs reasonable and enables easy updates to domain-specific vocabulary without solely relying on complex model capabilities.

A videoconferencing system that generates at least one participant bot unique to a videoconference participant or topic. The videoconferencing system comprises: a videoconferencing server; a participant bot engine that generates and stores the at least one participant bot is further configured to direct a videoconference invitation from the videoconferencing server to the at least one participant bot. One or more databases are in communication with the participant bot-generation engine, wherein the database stores organizational information and makes the organizational information available to the participant bot. The videoconferencing server is configured to send a videoconference invitation to the bot engine and the bot engine is configured to accept the videoconference invitation and have a participant bot participate in the videoconference.

An automated computer-implemented process can be executed by an authentication server for real-time authentication of a user. The process includes receiving user data about the user from a user device, comparing the user data with a user profile database to authenticate the user data, receiving a first image from the user device, and providing the first image and instructions for evaluating the first image to a multi-modal model. The process further includes generating a list of items detected in the first image using the multi-modal model and generating a context-specific challenge for the user based on the list of items detected in the first image. The process further includes sending the context-specific challenge to the user device with a request for the user to complete the context-specific challenge, receiving a second image from the user in response to the context-specific challenge, and verifying the second image with the multi-modal model.

Systems and methods for filtering voice information based on context and/or language are provided. A method can include identifying speaker voice streams and forming individual voice streams with associated identifiers, converting audio information of the individual voice streams to text information with associated identifier information, determining a context of at least portions of the text information, and filtering the voice streams based on the context and/or language within segments of the voice streams.

An electronic communication system for certification of an electronic communication includes: (1) a cryptographic trust server (CTS); (2) a common memory to store electronic communications; (3) a tuple server configured to generate tuple spaces; (4) a first user device; and (5) a first messaging user agent (MUA) associated with the first user device. The first MUA is configured to generate an MUA cryptographic hash for a first electronic communication, and the MUA places the first electronic communication with the cryptographic hash in the common memory, optionally with an iterative communication thread of prior electronic communications. The first MUA places an alert and the location of the first electronic communication in a tuple space provided by the tuple server. The alert notifies the CTS to access the common memory to review and verify or not verify the MUA cryptographic hash and optionally verify or not verify a CTS hash of the iterative communication thread.

A computer-implemented method for switching communication mediums during a communication is disclosed that includes monitoring, by a signal strength engine of a carrier server, a signal strength of the communication between a first user device and a second user device; determining, by the carrier server, if the signal strength is subject to a signal loss or the reception is determined below the threshold; and switching by the carrier server, the communication from a first communication medium to a second communication medium.

A conferencing system and method detects one or more two-dimensional (2D) images in presented 2D data and/or objects shown during a videoconference and renders them on a participant's three-dimensional (3D) tactile screen. The system includes a conferencing server that is in communication with one or more participant devices. An image recognition engine is in communication with the conferencing server and identifies the one or more 2D images. An imaging processor is in communication with the image recognition engine, and may be in communication with a camera that recognizes objects shown during the videoconference. The imaging processor creates a 3D rendering of the 2D images and/or the objects and directly or indirectly sends them to the participant's 3D tactile screen.

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of receiving one or more electronic signals recording a meeting between two or more individuals; analyzing the one or more electronic signals to determine a privacy level of the meeting; when the privacy level is above a predetermined threshold, initializing a predictive software application locally on a mobile electronic device of at least one of the two or more individuals; and when the privacy level is below the predetermined threshold, initializing the predictive software application remotely on a cloud server. Other embodiments are disclosed herein.

A device, system and method for providing machine learning prompts on a call at a contact center server are provided. A contact center (CC) server receives a call. The CC server receives, on the call, an indication of a queue, of a plurality of queues maintained by the CC server, into which to place the call. The CC server places the call into the queue indicated by the indication, the call placed into the queue in a hold state. A machine learning engine generates, based on historical data associated with the queue, one or more prompts for the call. The CC server provides the one or more prompts on the call during the hold state.