Westerville, OH, United States of America

Jeff Gabriel

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2019-2022

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2 patents (USPTO):Explore Patents

Title: Celebrating the Innovations of Jeff Gabriel

Introduction

Jeff Gabriel, an accomplished inventor based in Westerville, OH, has made significant contributions to the field of self-adaptive time series forecasting. With a total of two patents to his name, Gabriel's work is reshaping how data is analyzed and predicted in various sectors.

Latest Patents

Jeff Gabriel's latest patents include innovative methods and apparatuses designed for self-adaptive time series forecasting. His first patent outlines an apparatus equipped with a memory and processor-executable instructions that analyzes datasets containing time series data points. The processor identifies time series characteristics from the data and strategically selects forecasting models to train and generate accurate predictions for the features of a given entity. The second patent builds upon this concept, further enhancing the apparatus with the ability to execute trained forecasting models, thereby improving the overall accuracy and reliability of the forecasts generated.

Career Highlights

Currently, Jeff Gabriel is associated with DataRobot, Inc., where he applies his expertise in developing cutting-edge forecasting solutions. His imaginative approach and technical skills have positioned him as a key player in the field, making valuable contributions to the company’s innovative offerings.

Collaborations

In his professional journey, Jeff Gabriel has collaborated with talented individuals such as John Bledsoe and Jason Montgomery. These partnerships have not only fostered creativity but have also led to the development of groundbreaking advancements in forecasting technologies.

Conclusion

Jeff Gabriel's work exemplifies the spirit of innovation in the realm of technology. His dedication to advancing self-adaptive time series forecasting through inventive methodologies and collaborative efforts continues to inspire aspiring inventors and professionals in the field. His contributions are a testament to the power of creativity and innovation in shaping a data-driven future.

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