This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Zeetogroup, LLC. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Matt Ferguson - Innovator in Streaming Data Pipelines
Introduction
Matt Ferguson is an accomplished inventor based in Ramona, CA (US). He has made significant contributions to the field of data processing, particularly in the area of streaming data pipelines. His innovative approach has led to the development of a unique patent that enhances the efficiency of data inquiries.
Latest Patents
Ferguson's most recent patent is titled "Utility based inquiry selection in a streaming data pipeline." This patent describes systems and methods that relate to the utility-based selection of inquiries within a streaming data pipeline. The technology involves receiving user identification data and a data source by a server that communicates with a distributed streaming data pipeline. This pipeline interacts with asynchronous event processing services, which determine an inquiry rule based on the data source. The rule prompts a comparison of an inquiry count to an inquiry threshold, allowing for inquiries to be sent to users based on expected utility.
Career Highlights
Matt Ferguson is currently associated with Zeetogroup, LLC, where he applies his expertise in data processing and innovation. His work focuses on improving the efficiency and effectiveness of data inquiries in real-time applications. With 1 patent to his name, Ferguson has established himself as a key player in the field of streaming data technologies.
Collaborations
Ferguson collaborates with talented individuals such as Matthew William Maybeno and Alexander James Egan. Together, they contribute to advancements in data processing and technology.
Conclusion
Matt Ferguson's innovative work in streaming data pipelines showcases his commitment to enhancing data processing technologies. His contributions are paving the way for more efficient systems in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile