公开(公告)号：US20210165708A1

公开(公告)日：2021-06-03

申请号：US16700316

申请日：2019-12-02

Applicant: Accenture Inc.

Inventor： Badrinarayanan Damal Vijayaraghavan ,  Atul Goel ,  Harshith Vuppala ,  Rani Gopalakrishnan

IPC: G06F11/07 ,  G06N20/20 ,  G06N3/08 ,  G06N5/00 ,  G06N5/04 ,  G06N3/04

Abstract: Systems, methods, and computer-readable storage media configured to predict future system failures are disclosed. Performance metrics (e.g., key performance indicators (KPIs)) of a system may be monitored and machine learning techniques may utilize a trained model to evaluate the performance metrics and identify trends in the performance metrics indicative of future failures of the monitored system. The predicted future failures may be identified based on combinations of different performance metrics and the impact that the performance metric trends of the group of different performance metrics will have on the system in the future. Upon predicting that a system failure will occur, operations to mitigate the failure may be initiated. The disclosed embodiments may improve overall performance of monitored systems by: increasing system uptimes (i.e., availability); helping systems administrators maintain the monitored systems in a healthy state; and ensuring the functionality those systems provide is readily available to system users.

公开(公告)号：US11269760B2

公开(公告)日：2022-03-08

申请号：US16733172

申请日：2020-01-02

Applicant: Accenture Inc.

Inventor： Chandrasekhar Sheshadri ,  Shalini Agarwal ,  Indrajit Kar ,  Vishal Pandey ,  Saloni Tewari ,  Dhiraj Suresh Panjwani ,  Ebrahim Abdullah Plumber ,  Rizwan Ahmed Saifudduza Siddiqui

IPC: G06F9/44 ,  G06F11/36 ,  G06F40/166 ,  G06N3/04

Abstract: Systems, methods, and computer-readable storage media facilitating automated testing of datasets including natural language data are disclosed. In the disclosed embodiments, rule sets may be used to condition and transform an input dataset into a format that is suitable for use with one or more artificial intelligence processes configured to extract parameters and classification information from the input dataset. The parameters and classes derived by the artificial intelligence processes may then be used to automatically generate various testing tools (e.g., scripts, test conditions, etc.) that may be executed against a test dataset, such as program code or other types of data.

公开(公告)号：US11232388B2

公开(公告)日：2022-01-25

申请号：US16692833

申请日：2019-11-22

Applicant: Accenture Inc.

Inventor： Paul Sundar Singh ,  Deepa Rajendran ,  Indira Boga ,  Bhargavi Parthasarathy ,  Swathi Kannan

IPC: G06Q10/08 ,  B65G1/137 ,  B66F9/06

Abstract: Systems, method, and computer-readable storage media for controlling item retrieval processes from an item and storage infrastructure are disclosed. The disclosed techniques utilize an automated guided vehicle (AGV) and real-time feedback to validate the item retrieval process is performed correctly. Item retrieval may be performed autonomously by an AGV equipped with item retrieval components, such as hydraulic arms, pistons, and other components and control logic, or may be performed as a user-aided process, where feedback is provided to the user to instruct the user which item is to be retrieved and the user then loads the item onto the AGV. The AGV is configured to utilize a coordinate system to facilitate automated navigation along a series of determined waypoints during the item retrieval process. Additionally, feedback or instructions may be provided to a user device (e.g., for user-aided processes) to assist with the item retrieval process.

公开(公告)号：US20210158270A1

公开(公告)日：2021-05-27

申请号：US16692833

申请日：2019-11-22

Applicant: Accenture Inc.

Inventor： Paul Sundar Singh ,  Deepa Rajendran ,  Indira Boga ,  Bhargavi Parthasarathy ,  Swathi Kannan

IPC: G06Q10/08 ,  B66F9/06 ,  B65G1/137

Abstract: Systems, method, and computer-readable storage media for controlling item retrieval processes from an item and storage infrastructure are disclosed. The disclosed techniques utilize an automated guided vehicle (AGV) and real-time feedback to validate the item retrieval process is performed correctly. Item retrieval may be performed autonomously by an AGV equipped with item retrieval components, such as hydraulic arms, pistons, and other components and control logic, or may be performed as a user-aided process, where feedback is provided to the user to instruct the user which item is to be retrieved and the user then loads the item onto the AGV. The AGV is configured to utilize a coordinate system to facilitate automated navigation along a series of determined waypoints during the item retrieval process. Additionally feedback or instructions may be provided to a user device for user-aided processes) to assist with the item retrieval process.

公开(公告)号：US11921573B2

公开(公告)日：2024-03-05

申请号：US16700316

申请日：2019-12-02

Applicant: Accenture Inc.

Inventor： Badrinarayanan Damal Vijayaraghavan ,  Atul Goel ,  Harshith Vuppala ,  Rani Gopalakrishnan

IPC: G06F11/00 ,  G06F11/07 ,  G06N3/04 ,  G06N3/08 ,  G06N5/01 ,  G06N5/04 ,  G06N20/20

CPC classification number: G06F11/0793 ,  G06F11/0703 ,  G06F11/0709 ,  G06F11/0751 ,  G06F11/0754 ,  G06N3/04 ,  G06N3/08 ,  G06N5/01 ,  G06N5/04 ,  G06N20/20 ,  G06F2201/81

Abstract: Systems, methods, and computer-readable storage media configured to predict future system failures are disclosed. Performance metrics (e.g., key performance indicators (KPIs)) of a system may be monitored and machine learning techniques may utilize a trained model to evaluate the performance metrics and identify trends in the performance metrics indicative of future failures of the monitored system. The predicted future failures may be identified based on combinations of different performance metrics and the impact that the performance metric trends of the group of different performance metrics will have on the system in the future. Upon predicting that a system failure will occur, operations to mitigate the failure may be initiated. The disclosed embodiments may improve overall performance of monitored systems by: increasing system uptimes (i.e., availability); helping systems administrators maintain the monitored systems in a healthy state; and ensuring the functionality those systems provide is readily available to system users.

公开(公告)号：US20210209011A1

公开(公告)日：2021-07-08

申请号：US16733172

申请日：2020-01-02

Applicant: Accenture Inc.

Inventor： Chandrasekhar Sheshadri ,  Shalini Agarwal ,  Indrajit Kar ,  Vishal Pandey ,  Saloni Tewari ,  Dhiraj Suresh Panjwani ,  Ebrahim Abdullah Plumber ,  Rizwan Ahmed Saifudduza Siddiqui

IPC: G06F11/36 ,  G06F40/166 ,  G06N3/04

Abstract: Systems, methods, and computer-readable storage media facilitating automated testing of datasets including natural language data are disclosed. In the disclosed embodiments, rule sets may be used to condition and transform an input dataset into a format that is suitable for use with one or more artificial intelligence processes configured to extract parameters and classification information from the input dataset. The parameters and classes derived by the artificial intelligence processes may then be used to automatically generate various testing tools (e.g., scripts, test conditions, etc.) that may be executed against a test dataset, such as program code or other types of data.