This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Capital One Services, LLC. Active years: 2022-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2025
Title: Michael O'Malley: Innovator in Machine Learning Techniques
Introduction
Michael O'Malley is an accomplished inventor based in Prosper, TX (US). He has made significant contributions to the field of computer science, particularly in the area of machine learning. With a total of 2 patents, O'Malley has developed innovative solutions that enhance the efficiency of computer networks.
Latest Patents
O'Malley's latest patents include a method and system for computer update requirement assignment using a machine learning technique. This novel data collection technique gathers data relating to various technical processes implemented in a computer network. A database including past assignments of requirements is also provided. These requirements can be software update requirements relating to a computer network. A classification model is trained using the assignment records for these requirements and the data collected relating to the technical processes. Using the classification model, new requirements can be classified and implemented on the computer network.
Career Highlights
Michael O'Malley currently works at Capital One Services, LLC, where he applies his expertise in machine learning to improve operational processes. His work has been instrumental in advancing the company's technological capabilities.
Collaborations
O'Malley collaborates with talented professionals such as John Woloszyn and Travis Landrith, contributing to a dynamic work environment that fosters innovation.
Conclusion
Michael O'Malley's contributions to machine learning and computer network efficiency exemplify the impact of innovative thinking in technology. His patents reflect a commitment to advancing the field and improving systems for users everywhere.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
