Location History:
- San Francisco, CA (US) (2004 - 2010)
- San Carlos, CA (US) (2014 - 2023)
- San Jose, CA (US) (2020 - 2023)
Company Filing History:
Years Active: 2004-2023
Title: The Innovative Contributions of Seth Tucker Stafford
Introduction
Seth Tucker Stafford is a prominent inventor based in San Jose, CA, known for his significant contributions to technology and database management. With a total of 10 patents to his name, he has developed innovative solutions that enhance the efficiency of data processing and analytics.
Latest Patents
One of his latest patents is titled "Metadata-based translation of natural language queries into database queries." This system includes a database table, a grammar containing metadata-referencing non-terminals, and metadata that maps these non-terminals into alternative terms for the table and its columns. The system is designed to receive a natural language query, parse it using the grammar, and generate a database language query based on identified tables and columns. Another notable patent is "Data insights for performance analytics," which describes an enterprise management platform that hosts instances for multiple client networks. This platform tracks incoming data metrics and provides a graphical user interface displaying data insights indicative of specific conditions, enhancing decision-making for clients.
Career Highlights
Seth has worked with notable companies such as ServiceNow, Inc. and Oracle International Corporation. His experience in these organizations has allowed him to refine his skills in developing advanced technological solutions that address complex data challenges.
Collaborations
Some of his coworkers include Aida Rikovic Tabak and Shayan Shahand, who have collaborated with him on various projects, contributing to the innovative environment in which he thrives.
Conclusion
Seth Tucker Stafford's work exemplifies the spirit of innovation in technology, particularly in the realm of database management and analytics. His patents reflect a deep understanding of the intersection between natural language processing and data systems, making significant strides in the field.