Salesforce, Inc.

Gang Shu

Jong Lee

Jimmy Hua

Jaisudha Gunasekaran

Sai Prashanth Lakshminaraayana

Chong Pang

Ravi L Honakere

Xiaozhong Sun

Shawn Butterfield

Jianwu Zhao

Sai Lakshminaraayana

John Huang

Evan Callahan

Hardik Patel

Tariq Arghastani

Frédéric Voituret

Jialin Chen

Florence Cheung

Kasthuri Periyakoil

Gerard Iervolino

Mike Cain

Kevin Lun

Sriram Rangaraj

Jia Le Chen

David Aden

Bijoy Sarkar

Barkkarn Aravinda Arasakutti Vetrivelu

Liuxizi Xu

Nidhi Baheti

Systems, methods, and devices are disclosed herein that provide management of usage of application program interfaces. A computing platform may be configurable to cause detecting a first action comprising an event at a user interface associated with an on-demand application hosted by the computing platform, and making, using a first application program interface (API), an asynchronous call for a data record in response to detecting the first action, the asynchronous call being made to a storage location of the computing platform. The computing platform may also be configurable to cause detecting a second action associated with the on-demand application, and determining if a synchronous call should be performed using a second API, the synchronous call being made in response to determining that a cache does not include the data record. The computing platform may also be configurable to cause generating a result responsive to the second action.

Systems, methods, and devices for improved application program interface management in a cloud-computing environment

A method and system for defining feature variable configurations in a system defined by a codebase has been developed. The codebase is executed over a set of test cases to test the software feature behaviors of a software feature. Feature variable configurations including feature variables generated by the test cases are logged. Associations between the feature variables and individual software feature behaviors are identified based on the logged feature variable configurations. Impact scores for the feature variables associated with individual software feature behaviors are calculated based on an occurrence of the associations between the feature variables and individual software feature behaviors. Deterministic feature variables are identified for individual software feature behaviors based on the calculated impact scores. At least one common feature variable is operable to enable access to the software feature in the system is identified from the deterministic features variables associated with the individual of software feature behaviors.

Defining feature variable configurations that enable access to features of a system

Disclosed are some implementations of systems, apparatus, methods and computer program products for providing contextually relevant recommendations based on a context of the user. The context of the user may be determined according to a set of privacy settings of the user, where the set of privacy settings indicates contextual features for which values are permitted to be accessed by a recommendation system. The contextual features may include user-related features and/or tenant features pertaining to a tenant of a multi-tenant database.

Intelligent contextual help chat in a multi-tenant database system

System, method, and/or computer program product embodiments for automatic removal of sensitive data items from records are disclosed. In one or more embodiments, a record with a sensitive field (for storing a sensitive data item) is linked to a self-removal data policy that includes a condition set. When the condition set is true, the sensitive data item is automatically removed from the record without deleting the record and without removing other data items stored in other fields of the record. Conditions may be associated with a time period following the upload or storage of the sensitive date item, the occurrence of an event that requires the sensitive date item, a read or approval of the sensitive data item, etc. A user may modify a condition in the condition set to make the condition more stringent or less stringent.

Automatic self-removal of sensitive data items

Disclosed herein are system, method, and computer program product embodiments for capturing incoming communications from a sender across multiple channels, and determining whether to include those communications from the sender in an inbox using a waiting room. The waiting room lists unknown senders, and allows a user to add the senders to a blocklist, where the sender's communications are omitted from the user's inbox, or to a passlist, where a new CRM customer record is created for the sender. With the CRM customer record created, future communications from the sender are matched to the CRM customer record and permitted for inclusion in an inbox. This way, recipients can prioritize customers (or other high-value communications) within their inbox based on a corresponding existing CRM customer record, while simplifying the capture of those CRM customer records.

Contact passlisting across digital channels

Methods, systems, and devices for data processing are described. According to the techniques described herein, an application server may be used for real-time provisioning for features for a user. The application server may validate requests from the user for feature activation or deactivation and after validation, may communicate with a provisioning server, which may be non-local to the user or the application server, to indicate validation and activation or deactivation of a feature for the user.

Real-time feature activation in distributed environment

Growing community of inventors

San Francisco, CA, United States of America

Gang Shu