Salesforce, Inc.

Salesforce Com, Inc.

Vaibhav Garg

Zuye Zheng

Khushboo Shah

James Diefenderfer

Behzad Farhang Richey

Pragya Anand

Sandeep Rawat

Katherine Jeanne Rushton

Niranjan Yadavali

Nadeem Marfani Aboobaker

Danny Lai

Thushara Paul

Evan Tsao

Timothy Noonan

Sreevatson Mahabalipuram Chakravarthy

Sumitkumar Kukkar

Techniques described herein may support a learned ontology or meaning for user, organization, or customer specific data. According to the techniques described herein, a set of datasets corresponding to an entity may be processed to generate a master dataset including rows that include at least a field name and a value corresponding to the field. The master dataset is processed to generate a corpus of text strings that is input into a word embedding function which generates a set of vectors based on the corpus. Because the configuration of the text string positions values by field names and field values, implicit relationships and contexts are identified within the data using the word embedding function.

Learned data ontology using word embeddings from multiple datasets

Described herein are systems, apparatus, methods and computer program products configured for componentized dashboards for data visualization. In certain embodiments, a component may be configured to be integrated within a dashboard. The component may receive data from one or more user database and provide one or more representations of the data. The component may be integrated within the dashboard as a separate component. That is, the component may provide the plurality of representations independent of the dashboard. The component may be maintained independent of the dashboard and, thus, may be updated independent of the dashboard.

Componentized dashboards

A database system may include a data storage configured to store one or more data sets and a processor coupled to the data storage. The processor may receive a query for first data included in the one or more data sets and access the data storage to obtain the first data based on the query. The processor may transmit the first data to a user system. The processor may receive an indication of a filter request to filter the first data based on a characteristic. The processor may identify linked data within second data based on the characteristic, the linked data linked to a portion of the first data associated with the filter request. The processor may access the data storage to obtain the linked data and transmit the linked data to the user system, to enable updating of a data presentation to display the linked data.

Filter of data presentations via user-generated links

Growing community of inventors

San Francisco, CA, United States of America

Vaibhav Garg