This inventor holds 2 USPTO granted patents. Top assignee: Quest Software Inc.. Active years: 2019-2020.
Company Filing History:
Years Active: 2019-2020
Title: Catherine Helbig Dibble: Innovator in Data Insights and Communication Systems
Introduction
Catherine Helbig Dibble is a prominent inventor based in Santa Clara, CA (US). She has made significant contributions to the fields of data insights and enterprise communication systems. With a total of 2 patents, her work focuses on enhancing the efficiency and effectiveness of data queries and response times in communication.
Latest Patents
Catherine's latest patents include "Symbiotic data insights from harmonized queries" and "Method for determining predictive response time across enterprise communication systems." The first patent relates to systems and methods for multi-data source query implementation and aggregation. It features a query aggregation system that includes a data abstraction engine, a query controller, and an aggregator. This system normalizes data schemas from multiple sources and securely runs normalized queries. The second patent describes a method for predicting response times for electronic mail across enterprise communication systems. It analyzes communications to determine the likelihood of a response and suggests alternate recipients if the original recipient is non-responsive.
Career Highlights
Catherine is currently employed at Quest Software Inc., where she continues to innovate and develop solutions that address complex data and communication challenges. Her work has been instrumental in advancing the capabilities of enterprise systems.
Collaborations
Catherine has collaborated with notable colleagues, including Michel Albert Brisebois and Curtis T Johnstone. These partnerships have contributed to her success and the development of her innovative solutions.
Conclusion
Catherine Helbig Dibble is a trailblazer in the realm of data insights and communication systems. Her patents reflect her commitment to improving technology and enhancing user experiences.
