Salesforce, Inc.

Salesforce Com, Inc.

Manju Vijayakumar

Jean-Marc Soumet

Roojuta Lalani

Thomas Archie Cook, Jr

Qingqing Liu

Shashank Harinath

Karl Ryszard Skucha

Zineb Laraki

Mike Rosenbaum

Michael Machado

John Ball

Kevin Zhang

Caiming Xiong

Eric M Halpern

Bryan McCann

Serguei Mourachov

Andrew Fong

Michael Brevoort

Nitish Shirish Keskar

Dan Willhite

Tian Xie

Xinyi Yang

Sohom Paul

Sameera Thangudu

Johnson Liu

Chaitanya Ravula

Juan Rodriguez

Adarsha Badarinath

Kevin Schoen

Chitra Gulabrani

Srikanth Kollu

Rohiniben Thakar

Amit Hetawal

Qiong Liu

Rafael Amsili

Brett Griffin Wines

Kimberly Van Anh Nguyen

Gabriel Adomnicai

James Douglas Harrison

Vishal Motwani

Zhihao Zou

Minal Khodani

Media, methods, and systems are provided for real-time updates of collaborative documents in a group-based communication system. Collaborative documents may allow for multiple users to simultaneously modify and edit a document. When a collaborative document is created, a server may create an ephemeral channel and an identifier for the collaborative document. As users connect to the collaborative document, the users may be assigned a temporary subscription to the collaborative document. Real-time events, such as indications that a user is typing, indications that a user is connected in the collaborative document, and changes to the collaborative document may be published to the user via the temporary subscription. When the user disconnects from the document, the real-time events may no longer be communicated.

Real-time updates for document collaboration sessions in a group-based communication system

Media, methods, and systems are disclosed for managing permissions for a collaborative document within a group-based communication system. A collaborative document may be created within a group-based communication system. When the collaborative document is created, permissions may be automatically assigned based on the context of collaborative document creation, such as which virtual space the collaborative document creation corresponds to. After creation, the collaborative document may be shared and permissions may be automatically updated based on the sharing context. Users without appropriate permissions will be prevented from accessing the document.

Managing permissions for collaborative shared documents

A multi-tenant system performs custom configuration of a tenant-specific chatbot to process and act upon natural language requests. The multi-tenant system configures the tenant-specific chatbots without requiring tenant-specific training. The multi-tenant system providing a user interface for configuring a tenant-specific set of permitted actions. The multi-tenant system determines a set of example phrases for each of the selected permitted actions. The multi-tenant system receives a natural language request from a user and identifies the action that the user wants to perform. The multi-tenant system uses a neural network to compare the natural language request with example phrases to identify an example phrase that matches the natural language request. The multi-tenant system performs the action corresponding to the matching example phrase.

Machine learning based tenant-specific chatbots for performing actions in a multi-tenant system

Approaches to using unstructured input to update heterogeneous data stores include receiving unstructured text input, receiving a template for interpreting the unstructured text input, identifying, using an entity classifier, entities in the unstructured text input, identifying one or more potential parent entities from the identified entities based on the template, receiving a selection of a parent entity from the one or more potential parent entities, identifying one or more potential child entities from the identified entities based on the template and the selected parent entity, receiving a selection of a child entity from the one or more potential child entities, identifying an action item in the unstructured text input based on the identified entities and the template, determining, using an intent classifier, an intent of the action item, and updating a data store based on the determined intent, the identified entities, and the selected child entity.

Using unstructured input to update heterogeneous data stores

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Pleasanton, CA, United States of America

Manju Vijayakumar