Vienna, Austria

Peter Prettenhofer


Average Co-Inventor Count = 6.9

ph-index = 1

Forward Citations = 30(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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2 patents (USPTO):Explore Patents

Title: Peter Prettenhofer: Innovator in Predictive Data Analytics

Introduction

Peter Prettenhofer is a notable inventor based in Vienna, Austria. He has made significant contributions to the field of predictive data analytics, holding a total of 2 patents. His work focuses on developing advanced methods and systems that enhance the accuracy and efficiency of predictive modeling.

Latest Patents

Peter's latest patents include innovative systems for time-series predictive data analytics. These patents describe a predictive modeling method that involves determining a time interval of time-series data and identifying one or more variables of the data as targets. The method also includes determining a forecast range and a skip range associated with a prediction problem represented by the data. By generating training and testing data from the time-series data, Peter's approach allows for fitting a predictive model to the training data and testing the fitted model on the testing data. The forecast range indicates the duration for which values of the targets are to be predicted, while the skip range denotes a temporal lag between the data used for predictions and the corresponding predictions.

Career Highlights

Peter Prettenhofer is currently employed at Datarobot, Inc., where he continues to innovate in the field of data analytics. His expertise in predictive modeling has positioned him as a key player in the development of cutting-edge technologies that leverage data for better decision-making.

Collaborations

Throughout his career, Peter has collaborated with notable professionals in the industry, including Jeremy Achin and Timothy Owen. These collaborations have further enriched his work and contributed to the advancement of predictive analytics.

Conclusion

Peter Prettenhofer is a distinguished inventor whose work in predictive data analytics has made a significant impact in the field. His innovative patents and contributions continue to shape the future of data-driven decision-making.

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