公开(公告)号：US20210133234A1

公开(公告)日：2021-05-06

申请号：US17121432

申请日：2020-12-14

Applicant: Commvault Systems, Inc.

Inventor： Pavan Kumar Reddy BEDADALA ,  Shilpa NAGENDRA ,  Rajesh POLIMERA ,  Aakash Chakravarthy VIJAYAKUMAR ,  Jie CHEN ,  Neha MATHUR ,  Vinay K. PAMARTHI ,  Surya Prakash RAMACHANDRAN ,  Prasanna Kumar THOPPE RAVINDRAN ,  Hari Prasad RAVULA ,  Supreeth SANUR ,  Ganesh Kumar SUBRAMANIAN ,  Priya SUNDARESAN ,  Jugpreet Singh TALWAR

IPC: G06F16/632 ,  G10L15/22 ,  G06F16/2452 ,  G06F16/332 ,  G06F40/58 ,  G10L15/26 ,  G06F16/17 ,  G06F16/9032

Abstract: The disclosed technology can receive a voice query or text query in a natural language and translate it from natural language to a native database management language to respond to the query. For example, a human can ask his or her computer to “show large emails from December 2016”, and a data agent on computer can receive the voice request, convert audio associated with the voice to words in natural language, convert natural language into a SQL query, and convert the SQL query into a database management query. The data agent is trained with a corpus of technical documents and rules to determine the intent or keywords for answering the query. In some implementations, the disclosed technology can also include a chatbot and/or administrative assistant to enable a human to interface with a database management software using voice or text. In some implementations, the disclosed technology allows the user to automatically connect to a help desk technician to assist in completing the query.

公开(公告)号：US20210133233A1

公开(公告)日：2021-05-06

申请号：US17121430

申请日：2020-12-14

Applicant: Commvault Systems, Inc.

Inventor： Pavan Kumar Reddy BEDADALA ,  Shilpa NAGENDRA ,  Rajesh POLIMERA ,  Aakash Chakravarthy VIJAYAKUMAR ,  Jie CHEN ,  Neha MATHUR ,  Vinay K. PAMARTHI ,  Surya Prakash RAMACHANDRAN ,  Prasanna Kumar THOPPE RAVINDRAN ,  Hari Prasad RAVULA ,  Supreeth SANUR ,  Ganesh Kumar SUBRAMANIAN ,  Priya SUNDARESAN ,  Jugpreet Singh TALWAR

IPC: G06F16/632 ,  G10L15/22 ,  G06F16/2452 ,  G06F16/332 ,  G06F40/58 ,  G10L15/26 ,  G06F16/17 ,  G06F16/9032

Abstract: The disclosed technology can receive a voice query or text query in a natural language and translate it from natural language to a native database management language to respond to the query. For example, a human can ask his or her computer to “show large emails from December 2016”, and a data agent on computer can receive the voice request, convert audio associated with the voice to words in natural language, convert natural language into a SQL query, and convert the SQL query into a database management query. The data agent is trained with a corpus of technical documents and rules to determine the intent or keywords for answering the query. In some implementations, the disclosed technology can also include a chatbot and/or administrative assistant to enable a human to interface with a database management software using voice or text. In some implementations, the disclosed technology allows the user to automatically connect to a help desk technician to assist in completing the query.