公开(公告)号：US20230177024A1

公开(公告)日：2023-06-08

申请号：US17541338

申请日：2021-12-03

申请人： ThoughtSpot, Inc.

发明人： Ashok Anand ,  Akshay Agrawal ,  Kapil Khurana ,  Kedar Milind Kulkarni ,  Preet A. Shah ,  Bishal Singh ,  Divyam Lamiyan

IPC分类号： G06F16/21 ,  G06F16/248

CPC分类号： G06F16/212 ,  G06F16/248

摘要： Automatic data modeling in a low-latency data access and analysis system includes identifying an analytical-object in response to first data expressing usage intent, generating an analytical model generation data-query for the analytical-object, obtaining a trained analytical model generated in accordance with the analytical model generation query and trained using results data obtained in accordance with the analytical-object, generating a resolved-request representing second data expressing usage intent and indicating a request for results data obtained using the trained analytical model, generating an analytical model results data-query for obtaining the results data in accordance with the trained analytical model and the analytical-object, and outputting data for presenting a visualization of the results data obtained by executing the analytical model results data-query, wherein a first portion of the results data corresponds with the analytical-object and a second portion of the results data corresponds with the trained analytical model.

公开(公告)号：US11928086B2

公开(公告)日：2024-03-12

申请号：US17541338

申请日：2021-12-03

申请人： ThoughtSpot, Inc.

发明人： Ashok Anand ,  Akshay Agrawal ,  Kapil Khurana ,  Kedar Milind Kulkarni ,  Preet A. Shah ,  Bishal Singh ,  Divyam Lamiyan

IPC分类号： G06F16/21 ,  G06F16/248

CPC分类号： G06F16/212 ,  G06F16/248

摘要： Automatic data modeling in a low-latency data access and analysis system includes identifying an analytical-object in response to first data expressing usage intent, generating an analytical model generation data-query for the analytical-object, obtaining a trained analytical model generated in accordance with the analytical model generation query and trained using results data obtained in accordance with the analytical-object, generating a resolved-request representing second data expressing usage intent and indicating a request for results data obtained using the trained analytical model, generating an analytical model results data-query for obtaining the results data in accordance with the trained analytical model and the analytical-object, and outputting data for presenting a visualization of the results data obtained by executing the analytical model results data-query, wherein a first portion of the results data corresponds with the analytical-object and a second portion of the results data corresponds with the trained analytical model.

公开(公告)号：US20240211450A1

公开(公告)日：2024-06-27

申请号：US18599988

申请日：2024-03-08

申请人： ThoughtSpot, Inc.

发明人： Ashok Anand ,  Akshay Agrawal ,  Kapil Khurana ,  Kedar Milind Kulkarni ,  Preet A. Shah ,  Bishal Singh ,  Divyam Lamiyan

IPC分类号： G06F16/21 ,  G06F16/248

CPC分类号： G06F16/212 ,  G06F16/248

摘要： Automatic data modeling in includes identifying an analytical object in response to first data expressing usage intent, generating an analytical model generation data query for the analytical object, obtaining a trained analytical model generated in accordance with the analytical model generation query and trained using results data obtained in accordance with the analytical object, generating a resolved request representing second data expressing usage intent and indicating a request for results data obtained using the trained analytical model, generating an analytical model results data query for obtaining the results data in accordance with the trained analytical model and the analytical object, and outputting data for presenting a visualization of the results data obtained by executing the analytical model results data query, wherein a first portion of the results data corresponds with the analytical object and a second portion of the results data corresponds with the trained analytical model.