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公开(公告)号：US11907863B2
公开(公告)日：2024-02-20
申请号：US16937704
申请日：2020-07-24
发明人： Daniela Rosu , Ruchi Mahindru
摘要： Embodiments are provided that relate to a computer system, a computer program product, and a computer-implemented method for improving performance of a dialog system employing an automated virtual dialog agent. Embodiments involve utilizing an automated virtual agent to receive a natural language request and generate a corresponding response, automatically identifying and resolving a corresponding knowledge gap between the request and response, and refining the automated virtual agent with the resolved knowledge gap.
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2.发明授权公开(公告)号：US12093872B2
公开(公告)日：2024-09-17
申请号：US17514295
申请日：2021-10-29
发明人： Ruchi Mahindru , Daniela Rosu , Atul Kumar
IPC分类号： G06Q10/06 , G06Q10/0637 , G06Q10/0639
CPC分类号： G06Q10/06375 , G06Q10/06393
摘要： Systems, computer-implemented methods, and/or computer program products facilitating a process to monitor and evaluate the effects of an artificial intelligence (AI) model on enterprise performance metrics are provided. According to an embodiment, a computer implemented method can comprise determining a technical issue of candidate technical issues associated with an artificial intelligence model that correlates to a change associated with a performance metric, wherein the determination is based on using a first data model that defines first relationships between the key performance metrics and candidate technical issues and second relationships between the candidate technical issues and candidate solutions. The method further comprises determining a solution for the technical issue using the data model and recommending or automatically implementing the solution. The method further provides for updating/refining the data model over time using continuous learning based on evaluating whether and how implemented solutions impact the relevant performance metrics.
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公开(公告)号：US11714855B2
公开(公告)日：2023-08-01
申请号：US17161794
申请日：2021-01-29
发明人： Ruchi Mahindru , Atul Kumar , Atri Mandal , Daniela Rosu
IPC分类号： G06F16/9032 , G06F40/30 , G06F11/34 , G06F18/21 , G10L15/22
CPC分类号： G06F16/90332 , G06F11/3457 , G06F18/2185 , G06F40/30 , G10L15/22
摘要： Embodiments are provided that relate to a computer system, a computer program product, and a computer-implemented method for improving performance of a virtual dialog agent system employing an automated virtual dialog agent. Embodiments involve generating ground truth (GT) from a user's knowledge base, and leveraging the GT to evaluate how the virtual dialog agent performs with the GT. The evaluation measures quality of a multi-turn virtual dialog, and generates a remediation plan directed at an algorithmic improvement of the virtual dialog agent.
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公开(公告)号：US20220414126A1
公开(公告)日：2022-12-29
申请号：US17361742
申请日：2021-06-29
发明人： Ruchi Mahindru , Martin Franz , Daniela Rosu , Sinem Guven Kaya , Xin Zhou
IPC分类号： G06F16/335 , G06F16/332 , G06F16/33
摘要： A computer implemented method for analyzing feedback with respect to a virtual assistant includes identifying a technical support problem and a corresponding resolution, wherein the technical support problem corresponds to a query, and wherein the corresponding resolution corresponds to the virtual assistant's response, collecting user feedback provided by one or more users corresponding to the technical support problem and the corresponding resolution, creating a set of user profiles corresponding to the one or more users, generating weighted user feedback according to the set of user profiles, identifying contradictory feedback patterns corresponding to the one or more users, adjusting the set of user profiles according to the identified contradictory feedback patterns, and recommending improvements to the identified corresponding resolution.
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公开(公告)号：US20220245199A1
公开(公告)日：2022-08-04
申请号：US17161794
申请日：2021-01-29
发明人： Ruchi Mahindru , Atul Kumar , Atri Mandal , Daniela Rosu
IPC分类号： G06F16/9032 , G06K9/62 , G06F40/30 , G06F11/34
摘要： Embodiments are provided that relate to a computer system, a computer program product, and a computer-implemented method for improving performance of a virtual dialog agent system employing an automated virtual dialog agent. Embodiments involve generating ground truth (GT) from a user's knowledge base, and leveraging the GT to evaluate how the virtual dialog agent performs with the GT. The evaluation measures quality of a multi-turn virtual dialog, and generates a remediation plan directed at an algorithmic improvement of the virtual dialog agent.
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公开(公告)号：US11250044B2
公开(公告)日：2022-02-15
申请号：US16879604
申请日：2020-05-20
发明人： Zhiyu Chen , Yu Deng , Ruchi Mahindru , Daniela Rosu , Shu Tao
IPC分类号： G06F16/36 , G06F16/338 , G06F16/33
摘要： Given a skeleton knowledge graph including first terms in respective nodes, wherein first terms in connected nodes have a predetermined relationship, an augmented knowledge graph is formed by a first computing device by extracting a second term from a domain corpus to form a term cluster linked with a respective node of the knowledge graph. The second term is associated with the first term of a respective node in the domain corpus while not meeting the predetermined relationship. A semantic feature between the second term and the associated first term is identified in the domain corpus and linked to the pair of the second term and the first term in the augmented knowledge graph. The augmented knowledge graph is useable by a second computing device, which may or may not be the same as the first computing device, to drive a conversation between a chatbot and user.
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公开(公告)号：US10708120B2
公开(公告)日：2020-07-07
申请号：US15456784
申请日：2017-03-13
发明人： Nikolaos Anerousis , Anuradha Bhamidipaty , Shang Q. Guo , Suman K. Pathapati , Daniela Rosu , Mitesh H. Vasa , Anubha Verma , Frederick Wu , Sai Zeng
IPC分类号： G06F15/173 , H04L12/24
摘要： One or more embodiments identify server management actions for resolving problems associated with one or more nodes in information technology infrastructure. In one embodiment, a node-ticket record for an information processing node associated with at least one problem ticket is generated. A set of node-ticket clusters is queried based on the node-ticket record. Each of the set of node-ticket clusters maps a set of server management actions to set of historical node-ticket records associated with the node-ticket cluster. The set of server management actions was previously performed to resolve at least one operational problem associated with at least one information processing node. At least one set of server management actions associated with at least one of the set of node-ticket clusters corresponding to the node-ticket record within a given threshold is identified based on the querying.
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公开(公告)号：US08751623B2
公开(公告)日：2014-06-10
申请号：US13739123
申请日：2013-01-11
发明人： Abhijit Bose , Winnie W. Cheng , Shang Q. Guo , Sang K. Kim , Laura Z. Luan , Dennis A. Perpetua , Daniela Rosu , Mithkal M. Smadi
IPC分类号： G06F15/16
CPC分类号： H04L41/50 , G06F11/0709 , G06F11/076 , G06F11/3006 , G06F11/3072 , G06F11/3476 , G06F11/3495
摘要： Aspects of the present invention dynamically reduce a frequency at which IT infrastructure automatically generates alerts. Historical data across a plurality of data sources in the IT infrastructure is analyzed. An opportunity to reduce the frequency at which the IT infrastructure automatically generates the alerts is identified. A new alert policy addressing the opportunity to reduce alert frequency is generated. An impact of the new alert policy on a set of predefined service level objectives (SLOs) and service level agreements (SLAs) is evaluated. The new alert policy is deployed in the IT infrastructure.
摘要翻译： 本发明的方面动态地降低IT基础设施自动生成警报的频率。 分析IT基础设施中多个数据源的历史数据。 确定了降低IT基础架构自动生成警报的频率的机会。 产生了一个新的提醒策略来解决降低警报频率的机会。 评估新警报策略对一组预定义服务级别目标（SLO）和服务级别协议（SLA）的影响。 新的警报策略部署在IT基础架构中。
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公开(公告)号：US20220405315A1
公开(公告)日：2022-12-22
申请号：US17354136
申请日：2021-06-22
发明人： Ruchi Mahindru , Daniela Rosu , David Konopnicki
摘要： An approach to ranking identified technical solutions summaries may be provided. The approach may include extracting data from technical tickets, subject matter expert reports, and online forum data. The approach may include receiving data relating to prior applications of one or more technical solutions. Steps associated with a technical solution may be included in the information from the prior application of the technical solutions and updated based on the information from prior applications of technical solutions. The approach may include generating a risk score and a cost score for the updated technical solution based on contextual factors associated with a user or machine. The approach may include enriching a static summary for the technical solution with the cost and risk score. The approach may include ranking the enriched summary against multiple potential technical solutions.
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公开(公告)号：US20210019615A1
公开(公告)日：2021-01-21
申请号：US16516009
申请日：2019-07-18
发明人： Tarek Sakakini , Yu Deng , Anup Kalia , Ruchi Mahindru , Daniela Rosu , Shu Tao
摘要： Systems, computer-implemented methods, and computer program products that can facilitate extraction of entities having defined lengths of text spans are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a configuration component that defines different hyperparameters of multiple artificial intelligence models, and determines target hyperparameters of an artificial intelligence model based on performance of the multiple artificial intelligence models. The computer executable components can further comprise an application component that employs the artificial intelligence model to extract one or more entities from a data source based on the target hyperparameters.
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