A method for remote damage assessment of a vehicle is provided. The present disclosure relates to the technical field of artificial intelligence, in particular to the technical field of image and text recognition. An implementation solution is: performing data collection on a target vehicle to determine damage information of the target vehicle; obtaining call content of an insurance claiming call for the target vehicle, and extracting accident-related information from the call content, wherein the accident-related information includes named entities in the call content and a relationship between the named entities; and determining a first fraud probability corresponding to the target vehicle at least based on the damage information and the accident-related information.

Certain aspects of the disclosure are directed to monitoring user-data communications corresponding to a user-generated message. According to a specific example, user-data communications, which are addressed to a client among a plurality of remotely-situated client entities, are directed to a message recording system. Each of the plurality of remotely-situated client entities are respectively configured and arranged to interface with a data communications server providing data communications services on a subscription basis. During recording of a message associated with the user-data communications and on the message recording system, speech characteristic parameters of the message may be analyzed, and a sentiment score and a criticality score for the message, may be determined. During the recording of the message, the user-data communications may be routed based on the determined sentiment score and criticality score.

A system for data recording across a network includes a session border controller connecting incoming data from the network to an endpoint recorder. A load balancer is connected to the network between the session border controller and the endpoint and receives the incoming data from the session border controller, wherein the load balancer comprises computer memory and a processor configured to parse the incoming data into video data and audio data according to identification protocols accessible by the processor from the computer memory. A recording apparatus includes recording memory that receives the incoming data from the load balancer, stores a duplicate version of the incoming data in the recording memory, and connects the incoming data to the endpoint.

A recording system has a listener processor for automatically capturing events involving computer applications during a dialogue involving the user of the computer. The system generates a visual transcript of events on a timeline. It automatically detects start of a dialogue and proceeds to detect events and determines if they are configured as transcript events, before detecting end of the dialogue. The system may associate dialogue events with audio clips, using meta tags.

Systems and methods for recording a meeting using a retroactive record feature. The present technology provides for improved systems and methods for providing a recording of a virtual meeting, where a selection to initiate the recording from the beginning or an earlier time in the meeting from a current time may be received after the virtual meeting has started. The system may process received meeting content streams to generate a plurality of data segments that may collectively form a meeting recording. Each data segment, for example, may include meeting content associated with a particular user/attendee and associated with a timestamp and/or time duration. In some examples, the plurality of data segments may be stored on a blockchain, which may provide an immutable meeting record that may be concatenated together and made available for playback based on a selection to record the meeting and consent given by the users/attendees.

A speech recognition server has a speech recognition engine, and a mode control table to hold a speech recognition mode for each call. The speech recognition engine has a mode management unit to designate a speech recognition mode for a decoder, and an output analysis unit to analyze recognition result data speech-to-text converted by speech recognition. The output analysis unit designates the speech recognition mode for the mode management unit in accordance with result of analysis of the recognition result data speech-to-text converted by the speech recognition. The mode management unit designates the speech recognition mode for the decoder in accordance with the designation with the output analysis unit. Upon speech recognition of call data, it is possible to suppress hardware resource consumption while improve users' satisfaction.

A distributed voice applications system includes a voice applications rendering agent and at least one voice applications agent that is configured to provide voice applications to an individual user. A management system may control and direct the voice applications rendering agent to create voice applications that are personalized for individual users based on user characteristics, information about the environment in which the voice applications will be performed, prior user interactions and other information. The voice applications agent and components of customized voice applications may be resident on a local user device which includes a voice browser and speech recognition capabilities. The local device, voice applications rendering agent and management system may be interconnected via a communications network.

A system and method may identify a fraud ring based on call or interaction data by analyzing by a computer processor interaction data including audio recordings to identify clusters of interactions which are suspected of involving fraud each cluster including the same speaker; analyzing by the computer processor the clusters, in combination with metadata associated with the interaction data, to identify fraud rings, each fraud ring describing a plurality of different speakers, each fraud ring defined by a set of speakers and a set of metadata corresponding to interactions including that speaker; and for each fraud ring, creating a relevance value defining the relative relevance of the fraud ring.

Systems and methods of design, delivery, and analysis of customer feedback surveys include receiving interaction content. Interaction content is analyzed to identify at least one issue arising in the interaction content. A survey of a plurality of questions is automatedly created based upon the identified at least one issue. A delivery channel for the survey is determined. The survey is delivered through the determined delivery channel. A survey response with survey results data is received.

A computer-implemented method and system for enhancing interaction between a customer using a client computer and a customer service representative of a company using a workstation. A Web session is commenced on a Web site for the client computer of the customer, wherein the Web session includes displaying a first Web page to the customer. A telephonic interaction is commenced between the customer and the customer service representative and a split screen is displayed on the workstation. The split screen including the first Web page and a second Web page, wherein the second Web page is only viewable by the customer service representative. An application is caused to be moved from the second Web page to the first Web page for review and interaction by the customer via the client computer.