Salesforce Com, Inc.

Salesforce, Inc.

Carlos Enrique Mogollan Jimenez

Chaitanya Malla

Orjan Nils Kjellberg

George Hu

Kristen Noriko Muramoto

Alan Cardel Molina

Son Thanh Chang

Clement Jacques Antoine Tussoit

Melissa Hoang

Adam Torman

Jonathan Rico Morales

John Bracken

Cloves Carneiro Junior

Adam Putinski

Luis Campos-Guajardo

Shaun Russell

Technologies are provided for tracking learning progress of an end user of a cloud computing platform when the end user is not registered with an external learning platform that provides an external learning application. In response to the end user interacting with virtual learning entities provided at the cloud computing platform, learning progress information with respect to the external learning application is generated. When a user service of the external learning platform receives a request to persist the learning progress information for the end user, the user service can determine whether a corresponding user account exists at the external learning platform that corresponds to the end user. If a corresponding user account does not exist, the user service can automatically provision an escrow user account that is associated with the end user. The escrow user account persists the learning progress information of the end user.

Provisioning an escrow user account for tracking learning progress of an end user of a cloud computing platform while interacting with virtual learning entities of the cloud computing platform that represent content of an external learning application

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

In accordance with embodiments, there are provided mechanisms and methods for facilitating client-based control and experience of application programming interfaces in an on-demand services environment according to one embodiment. In one embodiment and by way of example, a method comprises offering, by application programming interface (API)-usage server device ('API-usage device'), a client interface package including a user interface for facilitating client-based control of APIs at a client computing device over a network. The method may further include facilitating, by the API-usage device, the client-based control of the APIs using an API menu accessible through the user interface, where the API menu is selectively populated with one or more of documentation, working code samples, and application protocol clients.

Client-based control and experience of application programming interfaces in an on-demand environment

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San Francisco, CA, United States of America

Carlos Enrique Mogollan Jimenez