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公开(公告)号：US11295328B2
公开(公告)日：2022-04-05
申请号：US16921673
申请日：2020-07-06
发明人： Vinay Avinash Dorle , Manu Khanna , Santosh Kumar Soni , Lokesh Dharmane , Theerthala Siva Rama Sarma , Vikash Choudhary , Shivam Mathur
摘要： 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.
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公开(公告)号：US11703850B2
公开(公告)日：2023-07-18
申请号：US17462797
申请日：2021-08-31
发明人： Anirudh Shrivastav , Vinay Avinash Dorle , Manu Khanna , Santosh Kumar Soni , Theerthala Sarma Siva Rama Sarma , Vikash Choudhary , Lokesh Dharmane
IPC分类号： G05B23/02 , G05B19/4065 , G06F18/214 , G06F18/23213
CPC分类号： G05B23/0283 , G05B19/4065 , G06F18/214 , G06F18/23213
摘要： 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.
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公开(公告)号：US20240028935A1
公开(公告)日：2024-01-25
申请号：US17870004
申请日：2022-07-21
发明人： Vinay Avinash Dorle , Santosh Kumar Soni , Vikash Choudhary , Shivam Mathur , Paritosh Pramanik
摘要： 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.
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公开(公告)号：US11182841B2
公开(公告)日：2021-11-23
申请号：US16678844
申请日：2019-11-08
发明人： Ravi Shankar Nori , Vinay Avinash Dorle , Santosh Kumar Soni , Siva Rama Sarma Theerthala , Sumeet Pushpam , Manu Khanna
摘要： 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. The prospect recommendation index may facilitate the generation of a prospect assessment result for resolution of the prospect assessment query.
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公开(公告)号：US20210350395A1
公开(公告)日：2021-11-11
申请号：US16921673
申请日：2020-07-06
发明人： Vinay AVINASH DORLE , Manu Khanna , Santosh Kumar Soni , Lokesh Dharmane , Theerthala Siva Rama Sarma , Vikash Choudhary , Shivam Mathur
摘要： 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.
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