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US Patent 11960353 Root cause analysis based on process optimization data

Patent 11960353 was granted and assigned to ServiceNow on April, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
ServiceNow
ServiceNow
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Current Assignee
ServiceNow
ServiceNow
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119603530
Patent Inventor Names
Sai Harini Chettla0
Hans Jochen Gerhard Pohle0
Manjeet Singh0
Fabio Casati0
Siddhant Sinha0
Date of Patent
April 16, 2024
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Patent Application Number
175214740
Date Filed
November 8, 2021
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Patent Citations
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US Patent 7043661 Topology-based reasoning apparatus for root-cause analysis of network faults
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US Patent 7096459 Methods and apparatus for root cause identification and problem determination in distributed systems
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US Patent 7146574 Systems and methods for interfacing with digital history data
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US Patent 7197466 Web-based system for managing software assets
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US Patent 7215360 Error propagation tree technology
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US Patent 6948175 Method and system of remote diagnostic, control and information collection using a dynamic linked library
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US Patent 6985901 Controlling data collection, manipulation and storage on a network with service assurance capabilities
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US Patent 7003564 Method and apparatus for customizably calculating and displaying health of a computer network
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Patent Primary Examiner
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Matthew M Kim
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CPC Code
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G06Q 10/0639
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G06N 20/00
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G06F 2201/81
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G06F 11/3452
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G06F 11/3447
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G06F 11/3409
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G06F 11/079
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G06F 11/3476
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Patent abstract

A system for root cause analysis based on process optimization data is provided. The system receives log data associated with a first trace between a first activity and a second activity of a process. The system further determines a state of inefficiency between the first activity and the second activity based on the received log data. The system further applies a first machine learning (ML) model on the received log data. The system further determines a first label and a first value to be associated with the first trace of the process based on the application of the first ML model. The system further generates presentation data associated with the determined state of inefficiency of the first trace based on the determination of the first label and the first value and further transmits the generated presentation data on a user device.

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