-
公开(公告)号：US20190155225A1
公开(公告)日：2019-05-23
申请号：US15886341
申请日：2018-02-01
发明人： Ramkumar Kothandaraman , Koduvayur Vaidyanathan Ramesh , Suman Sundaravaradan , Sunil Balugari , Puneet Kalra
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, a using a bot management framework to provide bot management solutions for software bots deployed in a robotic process automation (RPA) system. In one aspect, a method includes the actions of receiving, from a RPA system, information regarding a software bot deployed within the RPA system to perform an assigned task, the information including incident data from an anomaly in the RPA system while the software bot performed the assigned task; mapping the received incident data according to a common data model; determining a resolution for the anomaly based an analysis through a trained artificial intelligence model of the mapped incident data; and executing the determined resolution.
-
公开(公告)号：US12085901B2
公开(公告)日：2024-09-10
申请号：US15886341
申请日：2018-02-01
发明人： Ramkumar Kothandaraman , Koduvayur Vaidyanathan Ramesh , Suman Sundaravaradan , Sunil Balugari , Puneet Kalra
IPC分类号： G05B13/02 , G05B13/04 , G05B19/042 , G06F11/34 , G06N3/006 , G06N20/00 , H04L41/16 , H04L41/5019
CPC分类号： G05B13/028 , G05B13/041 , G05B19/042 , G06F11/3495 , G06N3/006 , G06N20/00 , H04L41/16 , H04L41/5019
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, a using a bot management framework to provide bot management solutions for software bots deployed in a robotic process automation (RPA) system. In one aspect, a method includes the actions of receiving, from a RPA system, information regarding a software bot deployed within the RPA system to perform an assigned task, the information including incident data from an anomaly in the RPA system while the software bot performed the assigned task; mapping the received incident data according to a common data model; determining a resolution for the anomaly based an analysis through a trained artificial intelligence model of the mapped incident data; and executing the determined resolution.
-
公开(公告)号：US11526695B2
公开(公告)日：2022-12-13
申请号：US16034962
申请日：2018-07-13
发明人： Ramkumar Kothandaraman , Koduvayur Vaidyanathan Ramesh , Puneet Kalra , Sunil Balugari , Sudeep Sharma , Sachin Premnath
IPC分类号： G06Q10/06 , G06Q30/02 , G06K9/62 , G06N20/00 , G06F11/34 , G06F3/0482 , G06F16/951 , G06F40/20 , G06F16/2457 , G06F16/21 , G06N20/10 , G06N5/00 , G06N20/20
摘要： An AI-based process monitoring system access a plurality of data sources having different data formats to collect and analyze KPI data and shortlist KPIs that are to be used for determining the impact of automation of an automated process or sub-process. Information regarding an automated process is received and KPIs associated with the process and sub-processes of the process are identified. The identified KPIs are put through an approval process and the approved KPIs are presented to a user for selection. The user-selected KPIs are evaluated based on classification, ranking and sentiments associated therewith. The evaluations are again presented to the user along with a set of questionnaires wherein each of the questions has a dynamically controlled weight associated therewith. Based at least on the weights and user responses, a subset of the evaluated KPIs are shortlisted for use in evaluating the impact of process automation.
-
公开(公告)号：US20200019822A1
公开(公告)日：2020-01-16
申请号：US16034962
申请日：2018-07-13
发明人： Ramkumar KOTHANDARAMAN , Koduvayur Vaidyanathan Ramesh , Puneet Kalra , Sunil Balugari , Sudeep Sharma , Sachin Premnath
摘要： An AI-based process monitoring system access a plurality of data sources having different data formats to collect and analyze KPI data and shortlist KPIs that are to be used for determining the impact of automation of an automated process or sub-process. Information regarding an automated process is received and KPIs associated with the process and sub-processes of the process are identified. The identified KPIs are put through an approval process and the approved KPIs are presented to a user for selection. The user-selected KPIs are evaluated based on classification, ranking and sentiments associated therewith. The evaluations are again presented to the user along with a set of questionnaires wherein each of the questions has a dynamically controlled weight associated therewith. Based at least on the weights and user responses, a subset of the evaluated KPIs are shortlisted for use in evaluating the impact of process automation.
-
-
-
搜索结果
4 条记录 (耗时 0.027 秒)
