John Bledsoe

Title: Innovations of John Bledsoe in Time Series Forecasting

Introduction

John Bledsoe is an accomplished inventor based in Columbus, OH, known for his significant contributions to the field of time series forecasting. With a total of two patents to his name, Bledsoe has developed innovative methods and systems that enhance predictive analytics.

Latest Patents

Bledsoe's latest patents include "Methods for self-adaptive time series forecasting, and related systems and apparatus." This invention describes an apparatus equipped with a memory containing processor-executable instructions and a processor that is operatively coupled to the memory. The apparatus is designed to receive datasets that include time series data points, which are descriptive of a feature of a given entity. The processor determines a time series characteristic based on the data content and selects a set of entrant forecasting models from a pool stored in the memory. Each model is trained with the time series data points to produce a set of trained models. The processor then executes these models to generate forecasted values, ultimately selecting at least one model based on accuracy evaluations performed over the forecasted values.

Another notable patent is for "Methods and apparatus for self-adaptive time series forecasting engine." Similar to the previous patent, this invention also involves an apparatus with a memory and processor that processes time series data points. The methodology includes determining characteristics, selecting forecasting models, training them, and generating forecasted values, ensuring a robust approach to predictive analytics.

Career Highlights

Bledsoe is currently employed at Datarobot, Inc., where he continues to innovate in the realm of data science and machine learning. His work focuses on developing advanced forecasting techniques that can adapt to varying data characteristics, making significant strides in predictive modeling.

Collaborations

Throughout his career, Bledsoe has collaborated with notable colleagues such as Jeff Gabriel and Jason Montgomery. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

John Bledsoe's contributions to time series forecasting through his innovative patents and collaborative efforts highlight his role as a leading inventor in the field. His work continues to influence the landscape of predictive analytics, showcasing the importance of adaptive methodologies in data science.