Hertfordshire, United Kingdom

Adam Wiles

USPTO Granted Patents = 3 

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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3 patents (USPTO):Explore Patents

Title: Adam Wiles: Innovator in Data Querying Technologies

Introduction

Adam Wiles is a notable inventor based in Hertfordshire, GB. He has made significant contributions to the field of data querying technologies, holding a total of 3 patents. His work focuses on enhancing the efficiency and effectiveness of querying data repositories.

Latest Patents

One of Adam Wiles' latest patents is titled "System and method for querying a data repository." This patent describes a method for querying a database that involves several steps. The process begins with receiving a plurality of keywords at a computing device. The device then determines a plurality of datasets related to those keywords. Following this, it identifies metadata for the datasets, indicating relationships between them by examining an associated ontology. The system provides suggested database queries in natural language form, constructed based on the keywords and metadata. After receiving a selection of these suggested queries, the device constructs an object view for the datasets based on the selected query and metadata.

Career Highlights

Adam Wiles is currently employed at Palantir Technologies Inc., where he continues to innovate in the field of data management and querying. His work at Palantir has allowed him to develop advanced systems that improve data accessibility and usability.

Collaborations

Throughout his career, Adam has collaborated with talented individuals such as Cenk Sezgin and Advaya Krishna. These collaborations have contributed to the development of innovative solutions in data querying technologies.

Conclusion

Adam Wiles is a prominent inventor whose work in data querying systems has made a significant impact in the field. His patents reflect his commitment to advancing technology and improving data management practices.

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