Patents by Inventor Vinay Avinash Dorle
Vinay Avinash Dorle 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: 20240028935Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a machine-learning model configured to generate a prediction and recommendation output from input data. The system obtains training data including a plurality of training examples, obtains context data, identifies one or more feature variables from the context data, constructs the machine-learning model based at least on the identified feature variables, generates feature variable training data by processing the training data based on the identified feature variables, and performs training and periodic update (if required) of the machine-learning model to generate model parameter data for the machine-learning model based at least on the generated feature variable training data.Type: ApplicationFiled: July 21, 2022Publication date: January 25, 2024Inventors: Vinay Avinash Dorle, Santosh Kumar Soni, Vikash Choudhary, Shivam Mathur, Paritosh Pramanik
-
Patent number: 11703850Abstract: A system and method for facilitating predictive maintenance of an equipment is disclosed. The system may include a data capturer, a plurality of edge computing nodes and a cloud computing device. Each edge computing node may include a first processor. The cloud computing device may include a second processor. The first processor may receive the raw input data from the data capturer and may process the raw input data to obtain a representative data. The representative data may include an insight pertaining to a deviation in the at least one variable and a corresponding remedial action to be taken to correct the deviation. The deviation may be related to a deterioration in the condition of the equipment. The respective edge computing node may facilitate a regulation of the deviation by performing an automated actuation based on the corresponding remedial action.Type: GrantFiled: August 31, 2021Date of Patent: July 18, 2023Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Anirudh Shrivastav, Vinay Avinash Dorle, Manu Khanna, Santosh Kumar Soni, Theerthala Sarma Siva Rama Sarma, Vikash Choudhary, Lokesh Dharmane
-
Publication number: 20230064656Abstract: A system and method for facilitating predictive maintenance of an equipment is disclosed. The system may include a data capturer, a plurality of edge computing nodes and a cloud computing device. Each edge computing node may include a first processor. The cloud computing device may include a second processor. The first processor may receive the raw input data from the data capturer and may process the raw input data to obtain a representative data. The representative data may include an insight pertaining to a deviation in the at least one variable and a corresponding remedial action to be taken to correct the deviation. The deviation may be related to a deterioration in the condition of the equipment. The respective edge computing node may facilitate a regulation of the deviation by performing an automated actuation based on the corresponding remedial action.Type: ApplicationFiled: August 31, 2021Publication date: March 2, 2023Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Anirudh SHRIVASTAV, Vinay Avinash DORLE, Manu KHANNA, Santosh Kumar SONI, Theerthala Sarma Siva Rama SARMA, Vikash CHOUDHARY, Lokesh DHARMANE
-
Patent number: 11295328Abstract: Examples for a prospect assessment system are provided. The system may receive a query from a user and obtain prospect data from a plurality of data sources. The system may create a plurality of prospect clusters. The system may determine a cluster significance value. The system may determine a prospect churn value. The system may determine a set of significant prospect clusters from among the plurality of prospect clusters having the cluster significance value and the prospect churn value above a threshold value. The system may determine a prospect pattern matrix including a plurality of patterns from the set of significant prospect clusters. The system may identify a set of products for each of the plurality of patterns. The system may determine a prospect profile for each of the plurality of patterns. The system may generate a prospect assessment result based on the prospect profile for the resolution of the query.Type: GrantFiled: July 6, 2020Date of Patent: April 5, 2022Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Vinay Avinash Dorle, Manu Khanna, Santosh Kumar Soni, Lokesh Dharmane, Theerthala Siva Rama Sarma, Vikash Choudhary, Shivam Mathur
-
Patent number: 11182841Abstract: Examples of prospect recommendation including a prospect recommendation system are provided. The system may receive a prospect assessment query. The system may receive and sort prospect data, sales attribute data, and product data by applying an artificial intelligence component. The system may determine a prospect matrix by correlating the prospect data with the product data. The system may determine a prospect profile by collating historical prospect data and the product data. The system may determine a prospect assessment matrix by correlating the prospect matrix and the prospect profile. The system may determine a decisional pathway based on a comparison between the prospect profile and the prospect assessment matrix. The decisional pathway may include a plurality of assessment interpretations. The system may determine a prospect recommendation index based on the decisional pathway.Type: GrantFiled: November 8, 2019Date of Patent: November 23, 2021Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Ravi Shankar Nori, Vinay Avinash Dorle, Santosh Kumar Soni, Siva Rama Sarma Theerthala, Sumeet Pushpam, Manu Khanna
-
Publication number: 20210350395Abstract: Examples for a prospect assessment system are provided. The system may receive a query from a user and obtain prospect data from a plurality of data sources. The system may create a plurality of prospect clusters. The system may determine a cluster significance value. The system may determine a prospect churn value. The system may determine a set of significant prospect clusters from among the plurality of prospect clusters having the cluster significance value and the prospect churn value above a threshold value. The system may determine a prospect pattern matrix including a plurality of patterns from the set of significant prospect clusters. The system may identify a set of products for each of the plurality of patterns. The system may determine a prospect profile for each of the plurality of patterns. The system may generate a prospect assessment result based on the prospect profile for the resolution of the query.Type: ApplicationFiled: July 6, 2020Publication date: November 11, 2021Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Vinay AVINASH DORLE, Manu Khanna, Santosh Kumar Soni, Lokesh Dharmane, Theerthala Siva Rama Sarma, Vikash Choudhary, Shivam Mathur
-
Publication number: 20210142384Abstract: Examples of prospect recommendation including a prospect recommendation system are provided. The system may receive a prospect assessment query. The system may receive and sort prospect data, sales attribute data, and product data by applying an artificial intelligence component. The system may determine a prospect matrix by correlating the prospect data with the product data. The system may determine a prospect profile by collating historical prospect data and the product data. The system may determine a prospect assessment matrix by correlating the prospect matrix and the prospect profile. The system may determine a decisional pathway based on a comparison between the prospect profile and the prospect assessment matrix. The decisional pathway may include a plurality of assessment interpretations. The system may determine a prospect recommendation index based on the decisional pathway.Type: ApplicationFiled: November 8, 2019Publication date: May 13, 2021Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Ravi Shankar NORI, Vinay AVINASH DORLE, Santosh KUMAR SONI, Siva Rama Sarma THEERTHALA, Sumeet PUSHPAM, Manu KHANNA
-
Patent number: 10606575Abstract: A device may process application data or historical data to identify a set of metrics to be used to analyze a set of applications or to identify baseline values for the set of metrics. The device may determine a score, for each application of the set of applications, based on values for the set of metrics for the each application of the set of applications. The device may determine a refined classification for the each application of the set of applications based on the historical data or information related to the classification or the score. The device may generate a set of recommendations related to optimizing a current deployment of the set of applications. The device may perform an action to implement the set of recommendations related to optimizing the current deployment of the set of applications.Type: GrantFiled: April 3, 2018Date of Patent: March 31, 2020Assignee: Accenture Global Solutions LimitedInventors: Vinay Avinash Dorle, Ranjana Bhalchandra Narawane, Manu Khanna, Uday Varma, Dinesh Chandar Vasudevan
-
Publication number: 20190303118Abstract: A device may process application data or historical data to identify a set of metrics to be used to analyze a set of applications or to identify baseline values for the set of metrics. The device may determine a score, for each application of the set of applications, based on values for the set of metrics for the each application of the set of applications. The device may determine a refined classification for the each application of the set of applications based on the historical data or information related to the classification or the score. The device may generate a set of recommendations related to optimizing a current deployment of the set of applications. The device may perform an action to implement the set of recommendations related to optimizing the current deployment of the set of applications.Type: ApplicationFiled: April 3, 2018Publication date: October 3, 2019Inventors: Vinay AVINASH DORLE, Ranjana Bhalchandra NARAWANE, Manu KHANNA, Uday VARMA, Dinesh Chandar VASUDEVAN
-
Publication number: 20190065556Abstract: An interactive query processing system provides a user interface, including a “chat bot,” capable of receiving natural language queries from users, processing those queries to determine intents and entities, extracting data from applications and portals, synthesizing the data, and displaying the data to the user via the user interface in a useful, easy to understand, and unified format. The user utilizes a singular UI to receive data responsive to queries rapidly instead of manually extracting and synthesizing data from multiple different portals or dashboards. Additionally, the system provides actionable insights without requiring a user to sort or analyze data from multiple sources.Type: ApplicationFiled: July 31, 2018Publication date: February 28, 2019Inventors: Shiv Kumar, Ranjana Bhalchandra Narawane, Vinay Avinash Dorle, Suchit Vishnupant Bhatwadekar