Charlotte, NC, United States of America

James Hubbard

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Wells Fargo Bank, N.A.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: James Hubbard. Retrieved from https://idiyas.com/inventor/james-hubbard-7a9bv7i3

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: James Hubbard and the Automation of Process Instructions

Introduction

James Hubbard is an inventor associated with Charlotte, North Carolina, and Wells Fargo Bank, N.A. His patent work addresses how computing systems can turn records of completed tasks into clear instructions for performing those tasks.

Latest Patents

Hubbard is associated with 1 patent: “Automatic Generation of Process Instructions from Log Files.” The invention describes a computing system that accesses log files recording data from users’ prior performances of a process. Using a machine-learning-trained instructions generation model, the system generates human-readable written instructions based on those records. The approach aims to make it easier to document processes by drawing on interactions already captured by computing systems.

Career Highlights

Hubbard’s listed patent connects machine learning with process documentation. By using data from previous task performances to produce written guidance, the invention illustrates a practical application of automation in workplace processes. Hubbard is associated with Wells Fargo Bank, N.A.

Collaborations

Hubbard’s listed coworker is Carleton Jay Lindgren, Jr. Their association reflects a professional connection related to the patent information provided.

Conclusion

James Hubbard’s patent focuses on generating human-readable process instructions from user activity recorded in log files, bringing machine learning to the practical challenge of documenting repeatable work.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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