Company Filing History:
Years Active: 2017-2023
Title: Marcie Gately: Innovator in Streaming Data Solutions
Introduction
Marcie Gately is a notable inventor based in San Diego, CA. She has made significant contributions to the field of data processing and streaming technologies. With a total of 2 patents, her work focuses on enhancing the efficiency and utility of data inquiries in various applications.
Latest Patents
One of Marcie's latest patents is titled "Utility based inquiry selection in a streaming data pipeline." This invention relates to systems and methods for selecting inquiries based on their utility within a streaming data environment. The technology involves receiving user identification data and data sources, which are processed by a server connected to a distributed streaming data pipeline. The system utilizes asynchronous event processing services to establish inquiry rules based on thresholds, ensuring that inquiries are sent to users based on expected utility.
Another significant patent is the "Beacon sharing platform." This innovation allows for the management of beacons associated with user accounts within specified validity windows. The system generates entitlements that enable beacons to be shared between accounts during designated time periods, enhancing the flexibility and functionality of beacon technology.
Career Highlights
Marcie has worked with several companies throughout her career, including Zeetogroup, LLC and Gimbal, Inc. Her experience in these organizations has allowed her to develop and refine her innovative ideas in the realm of data processing and sharing technologies.
Collaborations
Marcie has collaborated with talented individuals such as Stephan Goss and Laura D Gonzalez. These partnerships have contributed to her success and the advancement of her inventions.
Conclusion
Marcie Gately is a pioneering inventor whose work in streaming data solutions has made a significant impact in the field. Her patents reflect her commitment to innovation and her ability to address complex challenges in data processing.