West Boylston, MA, United States of America

James M Pedone, Jr

This inventor holds 52 USPTO granted patents and 1 published patent application, primarily in Machine Learning Storage (CPC class G06F). Top assignees: Emc IP Holding Company LLC, Emc Corporation, Los Alamos National Security, LLC. Active years: 2013-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: James M Pedone, Jr. Retrieved from https://idiyas.com/inventor/james-m-pedone-jr

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

USPTO Granted Patents = 52 

% Patents Active = 100.0

Average Co-Inventor Count = 3.9

ph-index = 9

Forward Citations = 240(Granted Patents)

Forward Citations (Not Self Cited) = 219(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • West Bolyston, MA (US) (2019)
  • West Boylston, MA (US) (2013 - 2023)

Company Filing History:


Years Active: 2013-2023

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Areas of Expertise:
Machine Learning
Storage Systems
Data Analytics
Multi-Tier Storage
Dynamic Namespaces
IoT
Data Reduction
Biometric Authentication
Cluster File System
Cloud-Based Platform
Software-Defined Storage
Memory Clustering
52 patents (USPTO):Explore Patents

Title: A Profile of James M. Pedone, Jr: Innovator in Machine Learning and Storage Systems

Introduction: James M. Pedone, Jr. is an accomplished inventor based in West Boylston, MA, known for his significant contributions to the field of machine learning and storage systems. With an impressive portfolio of 52 patents, Pedone has made a remarkable impact on the technology landscape through his innovative solutions and methodologies.

Latest Patents: James Pedone's latest inventions revolve around leveraging machine learning to enhance storage systems. One of his prominent patents describes a method for analyzing storage systems using machine learning techniques. This method involves collecting data related to the operations of various components within the storage system. By creating a bitmap image from the gathered data, Pedone's approach enables the machine learning system to be trained effectively, visually representing the components and their interactions.

Another notable patent focuses on using machine learning to detect state changes within a system. This inventive technique utilizes a neural network that monitors the transition of a system through different states, including intermediate phases, to ensure accurate detection of changes. By training the network on a range of inputs and internal state information, Pedone's method enhances the reliability and efficiency of system monitoring.

Career Highlights: Throughout his career, James M. Pedone, Jr. has been associated with several prestigious organizations, most notably EMC IP Holding Company LLC and EMC Corporation. His work at these companies has contributed to advancements in data storage solutions and machine learning applications, solidifying his status as a leading inventor in the field.

Collaborations: Pedone has collaborated with other esteemed professionals in his projects, including Sorin Faibish and John Michael Bent. Their joint efforts have helped to elevate the quality and innovation of the work produced within their respective teams, underscoring the importance of teamwork in the realm of technological advancement.

Conclusion: James M. Pedone, Jr. stands out as a pioneer in the application of machine learning within storage system analysis. His extensive patent portfolio highlights his dedication to innovation and progress in technology. As he continues to develop cutting-edge solutions, Pedone's contributions are poised to make a lasting impact in the industry, inspiring future inventors and researchers alike.

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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