Company Filing History:
Years Active: 2020-2024
Title: Innovations of Claire Alexandria Tanner Semple
Introduction
Claire Alexandria Tanner Semple is an accomplished inventor based in Vancouver, Canada. She has made significant contributions to the field of data analytics, holding a total of 4 patents. Her work focuses on developing systems and methods that enhance data stream monitoring and analytics.
Latest Patents
One of her latest patents involves low-latency streaming analytics. This patent discloses systems and methods for implementing a low-latency data stream monitoring system. The system is designed to obtain raw data from a data source immediately after it is generated. It classifies the data according to various topics, which are then published in a publish-subscribe messaging model. Data enrichment systems subscribe to these topics to receive data for further enrichment. The enriched data may supplement or replace the raw data with additional information and can be reclassified into different topics. This enriched data is then published to an alert generation system, which applies various criteria to determine if alerts should be generated. The alerts are subsequently published or transmitted to client devices. The system allows for the addition, removal, or modification of individual data streams, topics, enrichments, criteria, and alarms as required.
Career Highlights
Claire has worked with notable companies such as Splunk Inc. and Splunk. Her experience in these organizations has allowed her to refine her skills in data analytics and contribute to innovative solutions in the industry.
Collaborations
Some of her coworkers include Alexander William Cruise and Byron Jason Shelden. Their collaboration has likely fostered a creative environment that encourages innovation and the development of cutting-edge technologies.
Conclusion
Claire Alexandria Tanner Semple is a pioneering inventor whose work in low-latency streaming analytics is shaping the future of data monitoring systems. Her contributions are significant in advancing the field of data analytics and enhancing the efficiency of data processing.