Salesforce Com, Inc.

Salesforce, Inc.

Chaitanya Malla

Carlos Enrique Mogollan Jimenez

Alan Cardel Molina

Orjan Nils Kjellberg

George Hu

Kristen Noriko Muramoto

Son Thanh Chang

Clement Jacques Antoine Tussoit

Carlos Jimenez

Melissa Hoang

Computing systems, database systems, and related conversational updating methods are provided for dynamically updating graphical user interfaces responsive to conversational user inputs received via a chatbot or other conversational interactions with a user. One method involves receiving a conversational user input from a conversation session graphical user interface display presented at a client device, identifying a desire to perform an action with respect to a database component based on the conversational user input, creating a database entry corresponding to the conversational user input, obtaining data corresponding to the conversational user input from a database communicatively coupled to the server, and providing an update to a second graphical user interface display at the client device in response to the conversational user input, wherein the update is influenced by the data corresponding to the conversational user input obtained from the database and reflects the desired action with respect to the database component.

Database systems and methods for conversation-driven dynamic updates

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.

System and method for field value recommendations based on confidence levels in analyzed dataset

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San Francisco, CA, United States of America

Chaitanya Malla