Abstract: Methods, apparatuses, or computer program products provide for enabling generation of abstractive context summaries for multi-party communication channels. An abstractive context summary scheduling interface associated with a selected multi-party communication channel may be caused to be rendered to a client computing device associated with a member profile identifier. A summary generation parameter set may be received in response to user engagement with the abstractive context summary scheduling interface. A plurality of communication data objects from the selected multi-party communication channel may be extracted based on the summary generation parameter set. An abstractive context summary for the selected multi-party communication channel may be generated based on the plurality of communication data objects and utilizing a text summarization machine learning model.

Abstract: Methods, apparatuses, or computer program products provide for generating context summaries of multi-party communication channels. A summary trigger request associated with a multi-party communication channel identifier may be received. A plurality of communication data objects from a selected multi-party communication channel may be extracted. An abstractive context summary for the selected multi-party communication channel may be generated based on the plurality of communication data objects and utilizing a text summarization machine learning model. The abstractive context summary may be stored in a summary storage location. A member event indication may be received. The member event indication may comprise the multi-party channel identifier and a member profile identifier. The abstractive context summary for the selected multi-party communication channel may be retrieved from the summary storage location.

Abstract: Provided are systems and methods for an interactive bot for multi-way communication. In one example, the method may include displaying a user interface including a communication session between a first user, a second user, and a chatbot, detecting, via a user interface, a request submitted by the first user to the second user via the user interface, determining, via a machine learning model, a response to the request based on a type of object associated with the communication session, and determining a confidence value of the determined response, and outputting a message from the chatbot via the user interface which includes the determined response, in response to the confidence value of the determined response being above a predetermined threshold value.

Abstract: A method and a system for authenticating users by implementing artificial intelligence techniques is provided. A graphical user interface (GUI) is rendered on a computing device of a user by a server. The GUI displays objects in random motion. The objects are selected in a sequential manner by the user to form a pattern. With each selection of the object, a corresponding confidence score is determined that is based on a set of factors. Further, the selected object becomes static and the remaining objects that are yet to be selected continue to move in random motion. On forming the pattern, the aggregate of confidence scores is determined to authenticate the user.

Abstract: Provided are systems and methods for an interactive bot for multi-way communication. In one example, the method may include displaying a user interface including a communication session between a first user, a second user, and a chatbot, detecting, via a user interface, a request submitted by the first user to the second user via the user interface, determining, via a machine learning model, a response to the request based on a type of object associated with the communication session, and determining a confidence value of the determined response, and outputting a message from the chatbot via the user interface which includes the determined response, in response to the confidence value of the determined response being above a predetermined threshold value.

Abstract: The disclosure provides a method for document management in a network. The method includes acquiring, by an electronic device, a source document as an image, extracting, by the electronic device, a plurality of multi-modal information from the source document by parsing the source document, automatically determining, by the electronic device, a category of the source document based on a comparison of the extracted plurality of multi-modal information with a plurality of pre-defined features, extracting, by the electronic device, a plurality of data fields corresponding to the determined category from the source document, determining, by the electronic device, a priority for each of the plurality of data fields and storing, by the electronic device, the plurality of data fields in at least one of a secure information source and an unsecure information source based on the determined priority.

Abstract: A method and a system for authenticating users by implementing artificial intelligence techniques is provided. A graphical user interface (GUI) is rendered on a computing device of a user by a server. The GUI displays objects in random motion. The objects are selected in a sequential manner by the user to form a pattern. With each selection of the object, a corresponding confidence score is determined that is based on a set of factors. Further, the selected object becomes static and the remaining objects that are yet to be selected continue to move in random motion. On forming the pattern, the aggregate of confidence scores is determined to authenticate the user.

Abstract: A method for providing notifications is provided. The method includes a tangible user interface (TUI) element the receives an input from a computing device coupled to the TUI element. The input is indicative of an outcome corresponding to a functionality of an application on the computing device. Based on the outcome, the TUI element determines at least one illumination pattern from a plurality of pre-stored illumination patterns. Thereafter, the TUI element generates an output based on the at least one determined illumination pattern.

Abstract: A method for providing notifications is provided. The method includes a tangible user interface (TUI) element the receives an input from a computing device coupled to the TUI element. The input is indicative of an outcome corresponding to a functionality of an application on the computing device. Based on the outcome, the TUI element determines at least one illumination pattern from a plurality of pre-stored illumination patterns. Thereafter, the TUI element generates an output based on the at least one determined illumination pattern.

Abstract: A method of searching for information in a mobile device is provided. The method includes identifying at least one log for operational events based on at least one input parameter, identifying at least one element existing within the at least one log based on the at least one input parameter, fetching contents related to the at least one element from the at least one log, and displaying a portion of the contents.

Abstract: A method for managing applications in an electronic device is provided. The method includes displaying a user interface (UI) that has a first region and a second region in which a plurality of objects are displayed, displaying, in the first region, at least one object that corresponds to a designated input from among the plurality of objects, wherein each of the plurality of objects corresponds to one of an application stored in the device and a notification generated in the device, and wherein the at least one object usable for activating at least one function from among a plurality of functions associated with the application or the notification that corresponds to the selected object.

Abstract: A method for aggregating communication records is provided and includes obtaining a communication report corresponding to each of one or more communication events. The communication events indicate an occurrence of communication between a first user and a second user using a communication mode from among a plurality of communication modes. Each of the communication records are classified into one or more communication categories based on one or more classification parameters. The communication records are aggregated based on the classifying weightage assigned to one or more contextual parameters corresponding to each of the plurality of communication records. The contextual parameters indicate relevance of the corresponding communication record and the communication mode corresponding to the communication record.