Patents by Inventor Vishwas Sharma
Vishwas Sharma has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Publication number: 20240004900Abstract: Operating a low-latency database analysis system using domain-specific chronometry may include obtaining chronometry configuration data including chronometric instance data describing an instance of a chronometric unit of a domain-specific chronometry dataset that describes an era, such that the chronometry configuration data includes respective chronometric instance data describing each instance of the first chronometric unit of the domain-specific chronometry dataset for the era of the domain-specific chronometry dataset, generating, in the low-latency database analysis system, a domain-specific chronometry dataset in accordance with the chronometry configuration data, such that the domain-specific chronometry dataset describes a chronometric unit such that a temporal location expressed with reference to the chronometric unit and indicative of an epoch value differs from a temporal location indicative of the epoch value and expressed in accordance with a canonical chronometry, and storing the domain-specifiType: ApplicationFiled: September 14, 2023Publication date: January 4, 2024Inventors: Tushar Mahale, Siva Singaram, Vishwas Sharma, Donko Donjerkovic, Simranjyot Singh Gill, Archit Bansal, Rakesh Kothari, Sanchit Gupta
-
Patent number: 11797568Abstract: Operating a low-latency database analysis system using domain-specific chronometry may include obtaining chronometry configuration data including chronometric instance data describing an instance of a chronometric unit of a domain-specific chronometry dataset that describes an era, such that the chronometry configuration data includes respective chronometric instance data describing each instance of the first chronometric unit of the domain-specific chronometry dataset for the era of the domain-specific chronometry dataset, generating, in the low-latency database analysis system, a domain-specific chronometry dataset in accordance with the chronometry configuration data, such that the domain-specific chronometry dataset describes a chronometric unit such that a temporal location expressed with reference to the chronometric unit and indicative of an epoch value differs from a temporal location indicative of the epoch value and expressed in accordance with a canonical chronometry, and storing the domain-specifiType: GrantFiled: December 16, 2022Date of Patent: October 24, 2023Assignee: ThoughtSpot, Inc.Inventors: Tushar Mahale, Siva Singaram, Vishwas Sharma, Donko Donjerkovic, Simranjyot Singh Gill, Archit Bansal, Rakesh Kothari, Sanchit Gupta
-
Publication number: 20230124508Abstract: Operating a low-latency database analysis system using domain-specific chronometry may include obtaining chronometry configuration data including chronometric instance data describing an instance of a chronometric unit of a domain-specific chronometry dataset that describes an era, such that the chronometry configuration data includes respective chronometric instance data describing each instance of the first chronometric unit of the domain-specific chronometry dataset for the era of the domain-specific chronometry dataset, generating, in the low-latency database analysis system, a domain-specific chronometry dataset in accordance with the chronometry configuration data, such that the domain-specific chronometry dataset describes a chronometric unit such that a temporal location expressed with reference to the chronometric unit and indicative of an epoch value differs from a temporal location indicative of the epoch value and expressed in accordance with a canonical chronometry, and storing the domain-specifiType: ApplicationFiled: December 16, 2022Publication date: April 20, 2023Inventors: Tushar Mahale, Siva Singaram, Vishwas Sharma, Donko Donjerkovic, Simranjyot Singh Gill, Archit Bansal, Rakesh Kothari, Sanchit Gupta
-
Patent number: 11550817Abstract: Operating a low-latency database analysis system using domain-specific chronometry may include obtaining chronometry configuration data including chronometric instance data describing an instance of a chronometric unit of a domain-specific chronometry dataset that describes an era, such that the chronometry configuration data includes respective chronometric instance data describing each instance of the first chronometric unit of the domain-specific chronometry dataset for the era of the domain-specific chronometry dataset, generating, in the low-latency database analysis system, a domain-specific chronometry dataset in accordance with the chronometry configuration data, such that the domain-specific chronometry dataset describes a chronometric unit such that a temporal location expressed with reference to the chronometric unit and indicative of an epoch value differs from a temporal location indicative of the epoch value and expressed in accordance with a canonical chronometry, and storing the domain-specifiType: GrantFiled: March 30, 2020Date of Patent: January 10, 2023Assignee: ThoughtSpot, Inc.Inventors: Tushar Mahale, Siva Singaram, Vishwas Sharma, Donko Donjerkovic, Simranjyot Singh Gill, Archit Bansal, Rakesh Kothari, Sanchit Gupta
-
Publication number: 20220292094Abstract: Operating a low-latency data access and analysis system using domain-specific chronometry may include obtaining, in the low-latency data access and analysis system, data expressing usage intent with respect to the low-latency data access and analysis system, in response to obtaining the data expressing usage intent, obtaining ontological data for a chronometric object in the low-latency data access and analysis system indicated by the data expressing usage intent, identifying a chronometry dataset from a plurality of chronometry datasets, wherein the plurality of chronometry datasets includes a domain-specific chronometry dataset and a canonical chronometry dataset, obtaining results data in accordance with the chronometry dataset and the chronometric object, generating output data representing the results data in accordance with the chronometry dataset, and outputting the output data for presentation via a user interface.Type: ApplicationFiled: May 31, 2022Publication date: September 15, 2022Inventors: Tushar Mahale, Siva Singaram, Vishwas Sharma, Donko Donjerkovic, Simranjyot Singh Gill, Archit Bansal, Rakesh Kothari, Sanchit Gupta
-
Patent number: 11372872Abstract: Operating a low-latency database analysis system using domain-specific chronometry may include obtaining, in the low-latency database analysis system, data expressing a usage intent with respect to the low-latency database analysis system, in response to obtaining the data expressing the usage intent, obtaining ontological data for a chronometric object in the low-latency database analysis system indicated by the data expressing the usage intent, identifying a chronometry dataset from a plurality of chronometry datasets, wherein the plurality of chronometry datasets includes a domain-specific chronometry dataset and a canonical chronometry dataset, obtaining results data in accordance with the chronometry dataset and the chronometric object, generating output data representing the results data in accordance with the chronometry dataset, and outputting the output data for presentation via a user interface.Type: GrantFiled: March 30, 2020Date of Patent: June 28, 2022Assignee: ThoughtSpot, Inc.Inventors: Tushar Mahale, Siva Singaram, Vishwas Sharma, Donko Donjerkovic, Simranjyot Singh Gill, Archit Bansal, Rakesh Kothari, Sanchit Gupta
-
Publication number: 20210303564Abstract: Operating a low-latency database analysis system using domain-specific chronometry may include obtaining, in the low-latency database analysis system, data expressing a usage intent with respect to the low-latency database analysis system, in response to obtaining the data expressing the usage intent, obtaining ontological data for a chronometric object in the low-latency database analysis system indicated by the data expressing the usage intent, identifying a chronometry dataset from a plurality of chronometry datasets, wherein the plurality of chronometry datasets includes a domain-specific chronometry dataset and a canonical chronometry dataset, obtaining results data in accordance with the chronometry dataset and the chronometric object, generating output data representing the results data in accordance with the chronometry dataset, and outputting the output data for presentation via a user interface.Type: ApplicationFiled: March 30, 2020Publication date: September 30, 2021Inventors: Tushar Mahale, Siva Singaram, Vishwas Sharma, Donko Donjerkovic, Simranjyot Singh Gill, Archit Bansal, Rakesh Kothari, Sanchit Gupta
-
Publication number: 20210303540Abstract: Operating a low-latency database analysis system using domain-specific chronometry may include obtaining chronometry configuration data including chronometric instance data describing an instance of a chronometric unit of a domain-specific chronometry dataset that describes an era, such that the chronometry configuration data includes respective chronometric instance data describing each instance of the first chronometric unit of the domain-specific chronometry dataset for the era of the domain-specific chronometry dataset, generating, in the low-latency database analysis system, a domain-specific chronometry dataset in accordance with the chronometry configuration data, such that the domain-specific chronometry dataset describes a chronometric unit such that a temporal location expressed with reference to the chronometric unit and indicative of an epoch value differs from a temporal location indicative of the epoch value and expressed in accordance with a canonical chronometry, and storing the domain-specifiType: ApplicationFiled: March 30, 2020Publication date: September 30, 2021Inventors: Tushar Mahale, Siva Singaram, Vishwas Sharma, Donko Donjerkovic, Simranjyot Singh Gill, Archit Bansal, Rakesh Kothari, Sanchit Gupta