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1.发明公开公开(公告)号：US20230274160A1
公开(公告)日：2023-08-31
申请号：US17681984
申请日：2022-02-28
发明人： Shashank Mujumdar , Hima Patel , Sambaran Bandyopadhyay , Pooja Aggarwal , Anbang Xu , Hau-Wen Chang , Harshit Kumar , Katherine Guo , Rama Kalyani T. Akkiraju , Gargi B. Dasgupta
IPC分类号： G06N5/02
CPC分类号： G06N5/022
摘要： Methods, systems, and computer program products for automatically detecting periods of normal activity by analyzing observability data in IT operations environments are provided herein. A computer-implemented method includes obtaining multiple types of data related to one or more artificial intelligence-related information technology operations; modelling at least a portion of the obtained data as time series data; automatically identifying, from the time series data, one or more time periods associated with one or more given levels of data activity; and performing one or more automated actions, in at least one artificial intelligence-related information technology operations environment, based at least in part on the data corresponding to the one or more identified time periods.
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公开(公告)号：US20220269589A1
公开(公告)日：2022-08-25
申请号：US17179629
申请日：2021-02-19
发明人： Pooja Aggarwal , Zhe Liu , Prateeti Mohapatra
IPC分类号： G06F11/36 , G06F40/205 , G06N3/08
摘要： Methods, systems, and computer program products for automatically generating datasets by processing collaboration forums using artificial intelligence techniques are provided herein. A computer-implemented method includes obtaining conversational data from collaboration forum sources; classifying, using a first set of artificial intelligence techniques, at least a portion of the conversational data into categories based on designated applications; extracting information, pertaining to test case-related issues, from at least a portion of the classified data; verifying at least a portion of the extracted information by analyzing, using a second set of artificial intelligence techniques, portions of the conversational data attributed to multiple entities and related to the extracted information; generating, using the verified information, one or more datasets related to at least one of the test case-related issues for at least one of the designated applications; performing at least one automated action based on the one or more generated datasets.
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公开(公告)号：US11409593B1
公开(公告)日：2022-08-09
申请号：US17394667
申请日：2021-08-05
发明人： Harshit Kumar , Raghav Batta , Jinho Hwang , Larisa Shwartz , Gargi B. Dasgupta , Prateeti Mohapatra , Amar Prakash Azad , Nikhil Verma , Ajay Gupta , Pooja Aggarwal , Jakub Krchák
IPC分类号： G06F11/07
摘要： Methods, computer program products, and/or systems are provided that perform the following operations: in an information technology (IT) management system, grouping one or more ongoing service failure events into a service failure record; identifying a representative event for the service failure record; identifying one or more conversations that relate to the one or more ongoing service events; computing, using a similarity algorithm, feature similarity scores for respective conversations of the one or more conversations based, at least in part, on the features associated with the representative event and features associated with the respective conversations; linking a subset of the one or more conversations to the one or more ongoing service events in the service failure record based, at least in part, on the computed feature similarity scores; and providing the service failure record to a collaboration platform utilized in addressing the one or more ongoing service events.
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公开(公告)号：US12050506B2
公开(公告)日：2024-07-30
申请号：US17964564
申请日：2022-10-12
发明人： Seema Nagar , Mudhakar Srivatsa , Amitkumar Manoharrao Paradkar , Pooja Aggarwal , Joshua M Rosenkranz , Rohan R Arora , Dipanwita Guhathakurta
IPC分类号： G06F11/07
CPC分类号： G06F11/0769 , G06F11/0721
摘要： An embodiment includes detecting a set of anomalies recorded during a first predefined window of time in log entries for a computer environment. The embodiment also includes generating cluster data representative of a cluster of anomalies from among the set of anomalies, where the cluster is formed using a lattice clustering algorithm that spatially distinguishes the cluster of anomalies from other anomalies in the set of anomalies. The embodiment also includes composing an explanation using log templates generated from log entries associated with the cluster of anomalies.
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公开(公告)号：US20240126630A1
公开(公告)日：2024-04-18
申请号：US17964564
申请日：2022-10-12
发明人： Seema Nagar , Mudhakar Srivatsa , Pooja Aggarwal , Joshua M Rosenkranz , Dipanwita Guhathakurta , Amitkumar Manoharrao Paradkar , Rohan R. Arora
IPC分类号： G06F11/07
CPC分类号： G06F11/0769 , G06F11/0721
摘要： An embodiment includes detecting a set of anomalies recorded during a first predefined window of time in log entries for a computer environment. The embodiment also includes generating cluster data representative of a cluster of anomalies from among the set of anomalies, where the cluster is formed using a lattice clustering algorithm that spatially distinguishes the cluster of anomalies from other anomalies in the set of anomalies. The embodiment also includes composing an explanation using log templates generated from log entries associated with the cluster of anomalies.
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公开(公告)号：US11748219B1
公开(公告)日：2023-09-05
申请号：US17944615
申请日：2022-09-14
CPC分类号： G06F11/2268 , G06F11/3495
摘要： Responsive to determining that a step in an interaction sequence has below a threshold similarity to any step in a set of log sequences, a first log entry is caused to be generated. The first log entry is emitted responsive to execution of the step in the interaction sequence by the software application. Responsive to determining that a starting key action lacks a corresponding ending key action, a second log entry is caused to be generated. The second log entry is emitted responsive to execution of code related to the corresponding ending key action by the software application. Responsive to determining, using a trained anomaly detection model, that a keyword related to an injected fault is not present in resulting fault log data, a third log entry is generated. The third log entry is emitted responsive to execution of code related to the keyword by the software application.
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公开(公告)号：US11675417B2
公开(公告)日：2023-06-13
申请号：US17095657
申请日：2020-11-11
摘要： One embodiment provides a method, including: identifying, utilizing one or more sensors operatively coupled to the smart device, a user operating a smart device; inferring, based upon the identifying the user, a knowledge level of the user with respect to the smart device; determining, based in part on the knowledge level of the user, at least one input within a plurality of inputs provided by the user is anomalous with respect to a pattern of inputs utilized to execute a command; transforming, based upon the anomalous at least one input and the pattern, the plurality of inputs to a plurality of inputs matching the pattern of inputs; and executing an action based upon the transformed plurality of inputs.
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公开(公告)号：US11411811B2
公开(公告)日：2022-08-09
申请号：US17000593
申请日：2020-08-24
IPC分类号： H04L41/0677 , H04L41/069
摘要： Methods, systems, and computer program products for fault localization for cloud-native applications are provided herein. A computer-implemented method includes classifying an event-related alert directed to at least one system by processing one or more characteristics of the event-related alert; obtaining and processing multiple application logs based at least in part on the classification of the event-related alert; identifying error logs among the multiple application logs based at least in part on the processing of the multiple application logs; ordering the error logs using one or more prioritization techniques; and performing at least one automated action based at least in part on the ordering of the error logs.
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公开(公告)号：US20210182420A1
公开(公告)日：2021-06-17
申请号：US16710826
申请日：2019-12-11
IPC分类号： G06F21/62 , G06F21/31 , G06F40/205 , G06F16/335 , G06F16/35 , G06F9/54 , H04L12/58
摘要： One embodiment provides a method, including: receiving an indication of an addition of a new participant in a textual communication between at least two existing participants; identifying at least one confidential topic contained within the textual communication by (i) parsing the textual communication and (ii) identifying at least one topic contained within the textual communication; the identifying comprising (i) accessing a confidentiality graph comprising (a) nodes representing participants and (b) edges representing confidential concepts that are acceptable discussion topics between participants connected by a corresponding edge and (ii) determining that an edge corresponding to the at least one confidential topic does not connect the new participant with both of the existing participants; and alerting one of the existing participants that the at least one confidential topic is included in the textual communication to be sent to the new participant.
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公开(公告)号：US20230419216A1
公开(公告)日：2023-12-28
申请号：US17809077
申请日：2022-06-27
IPC分类号： G06Q10/06
CPC分类号： G06Q10/06316
摘要： A method and system is provided for utilizing a causal dependence graph of events in a large enterprise-related system to determine a most frequently utilized corrective action for a set of actions that the enterprise requires. Typically, with large sets of data related to actions that an enterprise system performs, it is non-trivial to correlate a set of actions (or workflows) with a set of corrective actions.
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