San Diego, CA, United States of America

Craig Dillon


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 76(Granted Patents)


Company Filing History:


Years Active: 2008

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1 patent (USPTO):Explore Patents

Title: Craig Dillon - Innovator in Data Augmentation Technology

Introduction

Craig Dillon is an accomplished inventor based in San Diego, California. He has made significant contributions to the field of data augmentation through his innovative patent. His work focuses on enhancing data from source databases, which has applications in predictive modeling and data mining.

Latest Patents

Craig Dillon holds a patent for a "System and method for obtaining keyword descriptions of records from a large database." This computerized system is designed to augment data from a source database with information from a reference database. The invention outlines a method for utilizing the Internet to gather information, which includes reading data records, searching databases for descriptive information, condensing that information into value descriptions, and augmenting the original data with these descriptions. This system is particularly useful for predictive modeling and conducting searches within augmented databases.

Career Highlights

Craig Dillon is associated with Fair Isaac Corporation, a company known for its expertise in analytics and decision management technology. His role at the company has allowed him to apply his innovative ideas in practical settings, contributing to advancements in data processing and analysis.

Collaborations

Some of Craig's notable coworkers include Richard Howe and Nicolaas A Van Goor. Their collaboration has likely fostered an environment of innovation and creativity, leading to advancements in their respective fields.

Conclusion

Craig Dillon's contributions to data augmentation technology exemplify the impact of innovative thinking in the realm of data science. His patent reflects a commitment to enhancing data utility, which is crucial in today's data-driven world.

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