公开(公告)号：US20250111062A1

公开(公告)日：2025-04-03

申请号：US18374811

申请日：2023-09-29

Applicant: Dell Products L.P.

Inventor： Vivek Bhargava ,  Mayank Kapoor ,  Furkan Mohd Nisar ,  Dinesh Koppada

IPC: G06F21/60

Abstract: Methods, apparatus, and processor-readable storage media for generating automated workflows associated with LAR using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining data pertaining to a first set of software application(s) in association with at least one user device; identifying, by processing, using artificial intelligence techniques, data associated with one or more user devices related to the at least one user device, a second set of software application(s) related to at least a portion of the first set of software application(s); generating one or more automated workflows comprising LAR granted for the at least one user device, wherein the automated workflow(s) pertain to one or more operations to be carried out in connection with the at least one user device and the first set of software application(s) and/or the second set of software application(s); and performing one or more automated actions based on the automated workflow(s).

公开(公告)号：US20250045189A1

公开(公告)日：2025-02-06

申请号：US18229247

申请日：2023-08-02

Applicant: Dell Products L.P.

Inventor： Abhishek Mishra ,  Vivek Bhargava ,  Kumar Saurav

IPC: G06F11/36 ,  G06N20/00

Abstract: Methods, apparatus, and processor-readable storage media for generating test cases for software testing using machine learning techniques are provided herein. An example computer-implemented method includes obtaining user input data associated with at least one software application; identifying one or more predetermined types of information, including one or more of topic-related information and entity-related information, from at least a portion of the user input data using at least a first set of one or more machine learning techniques; generating one or more test cases for testing at least a portion of the at least one software application by processing at least a portion of the identified information using at least a second set of one or more machine learning techniques; and performing one or more automated actions based at least in part on at least one of the one or more generated test cases.

公开(公告)号：US20250005086A1

公开(公告)日：2025-01-02

申请号：US18342887

申请日：2023-06-28

Applicant: Dell Products L.P.

Inventor： Vivek Bhargava ,  Abhishek Mishra ,  Vaideeswaran Ganesan ,  Rishav Sethia

IPC: G06F16/9535 ,  G06F16/9532 ,  G06F16/954 ,  G06F40/40

Abstract: An apparatus comprises a processing device configured to receive a search query associated with a given user, to determine a user context specifying topics of interest and a level of detail sought by the given user, and to execute the search query to obtain search results. The processing device is also configured to apply natural language processing to the search results to assign classifications from a set defined based at least in part on the topics of interest of the given user. The processing device is further configured to utilize machine learning to filter the search results for relevancy based at least in part on the classifications assigned to the search results. The processing device is further configured to generate and provide to the given user a search response to the search query in a format selected based on the level of detail sought by the given user.

公开(公告)号：US20250004936A1

公开(公告)日：2025-01-02

申请号：US18342882

申请日：2023-06-28

Applicant: Dell Products L.P.

Inventor： Abhishek Mishra ,  Vivek Bhargava ,  Sharada Desai ,  Kumar Saurav

IPC: G06F11/36

Abstract: An apparatus comprises a processing device configured to determine specifications for an information technology asset to be developed, and to identify, utilizing at least one machine learning model, whether at least one of the specifications for the information technology asset is defect-prone, wherein a given specification is identified as defect-prone responsive to at least one output of the at least one machine learning model indicating that the given specification has at least a threshold likelihood of resulting in one or more defects during development of the information technology asset. The processing device is also configured to establish a mapping between the one or more identified defect-prone specifications for the information technology asset and one or more components of the information technology asset, and to modify one or more development processes for the information technology asset based at least in part on the established mapping.

公开(公告)号：US20240289142A1

公开(公告)日：2024-08-29

申请号：US18114470

申请日：2023-02-27

Applicant: Dell Products L.P.

Inventor： Abhishek Mishra ,  Vivek Bhargava ,  Vaideeswaran Ganesan

IPC: G06F9/445

CPC classification number: G06F9/4451

Abstract: An apparatus comprises a processing device configured to detect a user login to access a console of a computing device implementing a multi-level console interface comprising two or more levels each associated with a set of criteria, goals to be achieved, and actions relevant for achieving the goals. The processing device is also configured to determine a current state of the computing device, and to select a given level of the multi-level console interface based at least in part on mapping the current state to a given set of criteria associated with the given level. The processing device is further configured to provide, via the console of the computing device, an interface screen corresponding to the given level, the interface screen displaying the actions relevant for achieving the goals of the given level to facilitate transitioning of the computing device from the current state to a desired state.