San Francisco, CA, United States of America

Paul Boster


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 19(Granted Patents)


Company Filing History:


Years Active: 2021-2023

Loading Chart...
2 patents (USPTO):

Title: Innovations by Paul Boster

Introduction

Paul Boster is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of data management and user interface design. With a total of two patents to his name, Boster has developed innovative solutions that enhance the way users interact with data.

Latest Patents

Boster's latest patents include a data source correlation user interface. This system enables users to view information from two sets of records and identify fields that can be matched together. For instance, users can specify that values in an 'AcctID' field in one set can be matched to values in an 'Account_ID' field of another set. This functionality allows users to chain multiple values together, facilitating a comprehensive view of how records correspond across different datasets. Another patent focuses on workflows for selecting individual data sources from a matrix, identifying data fields, and establishing criteria for determining correlations. This system allows for user verification of correlated data sources, enhancing the accuracy and usability of data management.

Career Highlights

Paul Boster is currently employed at Splunk Inc., a company known for its innovative software solutions. His work at Splunk has allowed him to apply his inventive skills in a practical setting, contributing to the development of advanced data analytics tools.

Collaborations

Boster collaborates with talented individuals such as Keith Kramer and Cary Glen Noel. Their combined expertise fosters a creative environment that drives innovation within their projects.

Conclusion

Paul Boster's contributions to data management through his patents and work at Splunk Inc. highlight his role as a significant innovator in the field. His inventions are paving the way for more efficient data correlation and user interaction.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…