Patents by Inventor Akhil Koppera

Akhil Koppera has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Resource-related forecasting using machine learning techniques
    Patent number: 12586015
    Abstract: Methods, apparatus, and processor-readable storage media for resource-related forecasting using machine learning techniques are provided herein. An example computer-implemented method includes obtaining multiple items of data related to one or more resources associated with an enterprise; correlating at least a portion of the multiple items of data with at least one target variable using one or more correlation techniques; generating one or more forecasts pertaining to the at least one target variable and at least a portion of the one or more resources by processing at least a portion of the correlated data using one or more machine learning techniques; and performing one or more automated actions based at least in part on the one or more forecasts.
    Type: Grant
    Filed: May 12, 2023
    Date of Patent: March 24, 2026
    Assignee: Dell Products L.P.
    Inventors: Ali Mehrnezhad, Siamak Saliminejad, Prateek Srivastava, Saurabh Guleria, Akshit Sharma, Akhil Koppera
  • RESOURCE-RELATED FORECASTING USING MACHINE LEARNING TECHNIQUES
    Publication number: 20240378520
    Abstract: Methods, apparatus, and processor-readable storage media for resource-related forecasting using machine learning techniques are provided herein. An example computer-implemented method includes obtaining multiple items of data related to one or more resources associated with an enterprise; correlating at least a portion of the multiple items of data with at least one target variable using one or more correlation techniques; generating one or more forecasts pertaining to the at least one target variable and at least a portion of the one or more resources by processing at least a portion of the correlated data using one or more machine learning techniques; and performing one or more automated actions based at least in part on the one or more forecasts.
    Type: Application
    Filed: May 12, 2023
    Publication date: November 14, 2024
    Inventors: Ali Mehrnezhad, Siamak Saliminejad, Prateek Srivastava, Saurabh Guleria, Akshit Sharma, Akhil Koppera