公开(公告)号：US20240134562A1

公开(公告)日：2024-04-25

申请号：US17971082

申请日：2022-10-20

申请人： Dell Products L.P.

发明人： Bijan Kumar Mohanty ,  Barun Pandey ,  Sabu K. Syed ,  Hung T. Dinh

IPC分类号： G06F3/06

CPC分类号： G06F3/0655 ,  G06F3/0604 ,  G06F3/0679

摘要： Methods, apparatus, and processor-readable storage media for implementing an automated data archival framework using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining data associated with one or more storage systems; determining one or more storage-related features within the obtained data by processing at least a portion of the obtained data; predicting at least one data archival class, from a set of multiple predetermined data archival classes, for at least a portion of the obtained data by processing the one or more storage-related features using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the at least one predicted data archival class.

公开(公告)号：US20240020320A1

公开(公告)日：2024-01-18

申请号：US17867164

申请日：2022-07-18

申请人： Dell Products L.P.

发明人： Dhilip S. Kumar ,  Ponnayan Sekar ,  Hung T. Dinh ,  Bijan Kumar Mohanty

IPC分类号： G06F16/28 ,  G06F16/245 ,  G06N20/20

CPC分类号： G06F16/285 ,  G06F16/245 ,  G06N20/20

摘要： Methods, apparatus, and processor-readable storage media for automated database operation classification using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining at least one query related to one or more database operations; obtaining information pertaining to a set of multiple storage resources; classifying the at least one query as associated with at least one of multiple subsets of storage resources among the set of multiple storage resources by processing at least a portion of the query and at least a portion of the information pertaining to the set of multiple storage resources using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the classifying of the at least one query.

公开(公告)号：US20230343067A1

公开(公告)日：2023-10-26

申请号：US17724638

申请日：2022-04-20

申请人： Dell Products L.P.

发明人： Bijan Kumar Mohanty ,  Divya Maddi ,  Hung T. Dinh

IPC分类号： G06V10/764 ,  G06V10/44 ,  G06V10/82 ,  G06F16/51

CPC分类号： G06V10/764 ,  G06V10/454 ,  G06V10/82 ,  G06F16/51

摘要： Methods, apparatus, and processor-readable storage media for automatically classifying images for storage-related determinations using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining at least one image associated with an enterprise; classifying one or more portions of the at least one image into one or more enterprise-related categories by processing at least a portion of the at least one image using one or more artificial intelligence techniques; and performing, based at least in part on the classifying of the one or more portions of the at least one image, one or more automated actions pertaining to storing the at least one image in at least one of multiple storage options.

公开(公告)号：US20230229543A1

公开(公告)日：2023-07-20

申请号：US17579104

申请日：2022-01-19

申请人： Dell Products L.P.

发明人： Bijan Kumar Mohanty ,  Divya Maddi ,  Hung T. Dinh ,  Vikram Ramdev Bokka

IPC分类号： G06F11/07 ,  G06N3/04 ,  G06F9/50

CPC分类号： G06F11/0781 ,  G06N3/04 ,  G06F9/5038

摘要： Methods, apparatus, and processor-readable storage media for automatically classifying cloud infrastructure components for prioritized multi-tenant cloud environment resolution using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining historical data pertaining to a multi-tenant cloud environment; training one or more artificial intelligence techniques, using at least a portion of the obtained historical data, for classifying cloud infrastructure components for prioritizing incident-related resolution; classifying one or more cloud infrastructure components, within the multi-tenant cloud environment and associated with one or more server-related issues, into one or more of multiple resolution priority classes; and performing one or more automated actions based at least in part on the classifying of the one or more cloud infrastructure components.

公开(公告)号：US20220222053A1

公开(公告)日：2022-07-14

申请号：US17146817

申请日：2021-01-12

申请人： Dell Products L.P.

发明人： Nilay Mishra ,  Farook Shaik ,  Reshma Nair ,  Gaurav Suwal ,  Vishnu Prabhu Sundarrajan ,  Manikandan Pammal Rathinavelu ,  Bala Kumar ,  Narendra Kumar ,  Hung T. Dinh ,  Vijaya P. Sekhar ,  Abhijit Mishra ,  Satish Ranjan Das ,  Krishna Mohan Akkinapalli

IPC分类号： G06F8/65 ,  G06F8/61 ,  G06F8/36 ,  G06F9/451

摘要： Methods, apparatus, and processor-readable storage media for implementing extensible upgrade and modification as a service are provided herein. An example computer-implemented method includes processing one or more modifiers, wherein each modifier includes an independent processing unit having a given canonical structure and is configured to execute one or more automated actions related to at least one of application modification and application migration; obtaining data pertaining to multiple applications across multiple computing environments; determining, based at least in part on processing at least a portion of the obtained data, at least one of the one or more modifiers applicable for use in executing at least one of the one or more automated actions in connection with at least a portion of the multiple applications; and executing the at least one of the one or more automated actions using the at least one determined modifier.

公开(公告)号：US11201801B2

公开(公告)日：2021-12-14

申请号：US16662577

申请日：2019-10-24

申请人： Dell Products L.P.

发明人： Hung T. Dinh ,  Bijan K. Mohanty ,  Vinod V. Nair

IPC分类号： H04L12/26 ,  G06F17/18 ,  G06N20/00

摘要： Methods, apparatus, and processor-readable storage media for machine learning-based determinations of lifespan information for devices in an Internet of Things (IoT) environment are provided herein. An example computer-implemented method includes automatically obtaining device telemetry data from one or more IoT-enabled devices within an IoT network, automatically determining lifespan-related information pertaining to at least a portion of the one or more IoT-enabled devices by applying a machine learning model to the device telemetry data, and initiating at least one automated action in response to the determined lifespan-related information.

公开(公告)号：US20210241151A1

公开(公告)日：2021-08-05

申请号：US16776918

申请日：2020-01-30

申请人： Dell Products L.P.

发明人： Parminder Singh Sethi ,  Akanksha Goel ,  Hung T. Dinh ,  Sabu K. Syed ,  James S. Watt ,  Kannappan Ramu

IPC分类号： G06N7/00 ,  G06N3/08 ,  G06F3/06 ,  G06F11/30

摘要： Methods, apparatus, and processor-readable storage media for device component management using deep learning techniques are provided herein. An example computer-implemented method includes obtaining telemetry data from one or more enterprise devices; determining, for each of the one or more enterprise devices, values for multiple device attributes by processing the obtained telemetry data; generating, for each of the one or more enterprise devices, at least one prediction related to lifecycle information of at least one device component by processing the determined attribute values using one or more deep learning techniques; and performing one or more automated actions based at least in part on the at least one generated prediction.

公开(公告)号：US20240231678A9

公开(公告)日：2024-07-11

申请号：US17971082

申请日：2022-10-21

申请人： Dell Products L.P.

发明人： Bijan Kumar Mohanty ,  Barun Pandey ,  Sabu K. Syed ,  Hung T. Dinh

IPC分类号： G06F3/06

CPC分类号： G06F3/0655 ,  G06F3/0604 ,  G06F3/0679

摘要： Methods, apparatus, and processor-readable storage media for implementing an automated data archival framework using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining data associated with one or more storage systems; determining one or more storage-related features within the obtained data by processing at least a portion of the obtained data; predicting at least one data archival class, from a set of multiple predetermined data archival classes, for at least a portion of the obtained data by processing the one or more storage-related features using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the at least one predicted data archival class.

公开(公告)号：US20240193138A1

公开(公告)日：2024-06-13

申请号：US18078380

申请日：2022-12-09

申请人： Dell Products, L.P.

发明人： David J. Linsey ,  Bijan Kumar Mohanty ,  Hung T. Dinh

IPC分类号： G06F16/215 ,  G06F16/23 ,  H04L9/00

CPC分类号： G06F16/215 ,  G06F16/2365 ,  H04L9/50

摘要： Methods, apparatus, and processor-readable storage media for generating and processing digital asset information chains using machine learning techniques are provided herein. An example computer-implemented method includes obtaining data, from one or more data sources, pertaining to one or more events involving a digital asset; generating a digital asset information chain associated with the digital asset by processing at least a portion of the obtained data using at least one cryptographic function and linking that at least a portion of the obtained data in accordance with at least one temporal parameter; performing anomaly detection by processing at least a portion of the digital asset information chain associated with the digital asset using one or more machine learning techniques; and performing one or more automated actions based at least in part on one or more of the digital asset information chain and results from the anomaly detection.

公开(公告)号：US20240135262A1

公开(公告)日：2024-04-25

申请号：US17969793

申请日：2022-10-19

申请人： Dell Products L.P.

发明人： David J. Linsey ,  Bijan Kumar Mohanty ,  Hung T. Dinh

IPC分类号： G06N20/20

CPC分类号： G06N20/20

摘要： Methods, apparatus, and processor-readable storage media for automatically predicting device recycling opportunities using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining data associated with one or more devices; determining end of life-related information for the one or more devices by processing at least a portion of the obtained data; predicting at least one device recycling opportunity for at least one of the one or more devices by processing at least a portion of the determined end of life-related information using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the at least one predicted device recycling opportunity.