Bristol, United Kingdom

Glyn Bowden


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Glyn Bowden: Innovator in Data Analytics

Introduction

Glyn Bowden is a notable inventor based in Bristol, GB. He has made significant contributions to the field of data analytics, holding three patents that showcase his innovative approach to data processing and analysis.

Latest Patents

One of Glyn Bowden's latest patents is titled "Data recommender using lineage to propagate value indicators." This patent describes systems and methods that gather information about data as it progresses through data processing pipelines of data analysis projects. The data analytics system derives value indicators and implicit metadata from the data processing pipelines. For instance, the system may derive these indicators from data-related products, semantic analysis of the code and processing steps, the structure of data processing pipelines, and human behavior related to the production and usage of data-related products. When a new data analysis project is initiated, the system collects parameters and characteristics about the project and references the value indicators and implicit metadata to recommend useful processing steps, datasets, and other data-related products.

Career Highlights

Glyn Bowden is currently employed at Hewlett Packard Enterprise Development LP, where he continues to develop innovative solutions in data analytics. His work has had a significant impact on how data is processed and analyzed in various projects.

Collaborations

Glyn has collaborated with notable professionals in the field, including Ted Dunning and Suparna Bhattacharya. These collaborations have further enhanced his contributions to data analytics and innovation.

Conclusion

Glyn Bowden is a distinguished inventor whose work in data analytics has led to valuable advancements in the field. His patents reflect a deep understanding of data processing and a commitment to improving data analysis methodologies.

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