Abstract: Mechanisms are provided for compartmental epidemiological computer modeling based on mobility data. Machine learning training of an isolation rate prediction computer model is performed to generate a trained isolation rate prediction model that predicts an isolation rate of a biological population. Isolation data is received which comprises data indicating a measure of mobility of the biological population. The trained isolation rate prediction model is executed on input features extracted from the isolation data to generate a predicted isolation rate. A compartmental epidemiological computer model, comprising a plurality of compartments representing states of a population with regard to an infectious disease, is executed to simulate a progression of the infectious disease and flows of portions of the population from between compartments in the compartmental epidemiological computer model are controlled based on the predicted isolation rate.

Abstract: A memory array comprising strings of memory cells comprises laterally-spaced memory blocks individually comprising a vertical stack comprising alternating insulative tiers and conductive tiers above a conductor tier. Strings of memory cells comprising channel-material strings extend through the insulative tiers and the conductive tiers. The conductor tier comprises upper conductor material directly above and directly against lower conductor material of different composition from that of the upper conductor material. A through-array-via (TAV) region is included and comprises TAVs individually comprising the upper conductor material, the lower conductor material, and a conducting material that is directly below the conductor tier.

Abstract: This disclosure relates to tools to facilitate the configuration of interactive agents, sometimes referred to as bots, chatbots, virtual robots, or talkbots. Specifically, the disclosure relates to the provision of a map view visualization of an interactive agent. The map view can display a complexity indicator or usage percentage for each dialog and provide an easy mechanism for creation of new dialogs, actions, parameters, rules, and logic.

Abstract: A system, method, and computer program product are provided for determining peers of a user by evaluating persons identified from a calendar of the user. In use, a system identifies a calendar of a user. The system further identifies events saves in the calendar of the user. One or more persons are then identified by the system from the events. Moreover, for each of the identified persons, the system evaluates the person in terms of information gathered from the events and determines whether the evaluating indicates that the person has a particular type of relationship with the user. When the system determines that the evaluating indicates that the person has the particular type of relationship with the user, then the system identifies the person as a peer of the user.

Abstract: This disclosure relates to tools to facilitate the configuration of interactive agents, sometimes referred to as bots, chatbots, virtual robots, or talkbots. Specifically, the disclosure relates to the provision of a map view visualization of an interactive agent. The map view can display a complexity indicator or usage percentage for each dialog and provide an easy mechanism for creation of new dialogs, actions, parameters, rules, and logic.

Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.

Abstract: A work related feedback system, method, and computer program product are provided. In use, a system is made accessible to a user via a network, where the system has memory and at least one processor. Further, individuals having a work-based relationship with the user are determined, by the system. The user is then allowed, by the system, to provide feedback for the individuals.

Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.

Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.

Abstract: A system, method, and computer program product are provided for determining peers of a user by evaluating persons identified from a calendar of the user. In use, a system identifies a calendar of a user. The system further identifies events saves in the calendar of the user. One or more persons are then identified by the system from the events. Moreover, for each of the identified persons, the system evaluates the person in terms of information gathered from the events and determines whether the evaluating indicates that the person has a particular type of relationship with the user. When the system determines that the evaluating indicates that the person has the particular type of relationship with the user, then the system identifies the person as a peer of the user.

Abstract: Disclosed herein are embodiments for a visual bot builder. An embodiment operates by receiving a selected dialog including one or more interactions between a chat bot and a recipient. A plurality phrases corresponding to triggering an execution of the selected dialog is received. The selected dialog is configured such that upon a receipt of one or more of the plurality of phrases, the chat bot executes the selected dialog. One of the plurality of phrases is received. The selected dialog is executed responsive to the received one of the plurality of phrases.

Abstract: Disclosed herein are embodiments for a visual bot builder. An embodiment operates by visually displaying, within a user interface, a plurality of selectable chat bot functions associated with a first dialog. A first selection of one of the bot functions is received. It is determined that the first selection corresponds to calling a selectable second dialog from a one or more previously configured dialogs. A link to the one or more selectable previously configured dialogs is provided and a second selection of one of the previously configured dialogs is received as the second dialog. The execution of the first dialog is linked to an execution of the second dialog. A preview of the execution of the first dialog including the second dialog is provided.

Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.

Abstract: A sharing model enables users to easily and conveniently create and share standard and custom database objects, and applications, among users or groups of users. The sharing model includes systems and methods that allow users to conveniently create and customize tabs and tab sets that define relationships between custom objects and fields, standard objects and fields, and applications. A tab visually represents a user interface into an element of an application or into a database object. Selection of a tab provides a user access to the object or element of the application represented by the tab. A tab set is a group of related tabs that work as a unit to provide application functionality. New tabs and tab sets may be defined and tab set views may be customized so that an end user can easily and conveniently switch between the various objects and application elements represented by the displayed tabs and tab set views.

Abstract: This disclosure relates to tools to facilitate the configuration of interactive agents, sometimes referred to as bots, chatbots, virtual robots, or talkbots. Specifically, the disclosure relates to the provision of a map view visualization of an interactive agent. The map view can display a complexity indicator or usage percentage for each dialog and provide an easy mechanism for creation of new dialogs, actions, parameters, rules, and logic.

Abstract: Disclosed herein are embodiments for a visual bot builder. An embodiment operates by receiving a selected dialog including one or more interactions between a chat bot and a recipient. A plurality phrases corresponding to triggering an execution of the selected dialog is received. The selected dialog is configured such that upon a receipt of one or more of the plurality of phrases, the chat bot executes the selected dialog. One of the plurality of phrases is received. The selected dialog is executed responsive to the received one of the plurality of phrases.

Abstract: Disclosed herein are embodiments for a visual bot builder. An embodiment operates by visually displaying, within a user interface, a plurality of selectable chat bot functions associated with a first dialog. A first selection of one of the bot functions is received. It is determined that the first selection corresponds to calling a selectable second dialog from a one or more previously configured dialogs. A link to the one or more selectable previously configured dialogs is provided and a second selection of one of the previously configured dialogs is received as the second dialog. The execution of the first dialog is linked to an execution of the second dialog. A preview of the execution of the first dialog including the second dialog is provided.

Abstract: Disclosed are examples of systems, apparatus, methods, and computer program products for controlling a user interface console using speech recognition. In some implementations, user interface consoles and speech commands are maintained. A presentation of a user interface console can be displayed at a user device. Audio data received from the user device can be processed. Speech items based on the audio data can be generated. It can be determined that a first speech item matches a first speech command. It can be determined that a second speech item matches a second speech command. A third speech item can be identified as being associated with a user-customized component. An updated presentation of a user interface console can be displayed based on the first speech command and the second speech command.

Abstract: A sharing model enables users to easily and conveniently create and share standard and custom database objects, and applications, among users or groups of users. The sharing model includes systems and methods that allow users to conveniently create and customize tabs and tab sets that define relationships between custom objects and fields, standard objects and fields, and applications. A tab visually represents a user interface into an element of an application or into a database object. Selection of a tab provides a user access to the object or element of the application represented by the tab. A tab set is a group of related tabs that work as a unit to provide application functionality. New tabs and tab sets may be defined and tab set views may be customized so that an end user can easily and conveniently switch between the various objects and application elements represented by the displayed tabs and tab set views.