Karlsruhe, Germany

Martin Hahn

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Blue Yonder Group, Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Martin Hahn. Retrieved from https://idiyas.com/inventor/martin-hahn-l4tpb28m

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Martin Hahn: Innovator in Machine Learning Integration

Introduction

Martin Hahn is a prominent inventor based in Karlsruhe, Germany. He has made significant contributions to the field of machine learning, particularly in the integration and automated testing of machine learning models. His innovative approach has the potential to revolutionize how businesses utilize data for sales predictions.

Latest Patents

Martin Hahn holds a patent for a system and method that focuses on continuous integration and automated testing of machine learning models. This patent, which is titled "Continuous integration and automated testing of machine learning models," describes a comprehensive system that generates, modifies, and deploys machine learning models. The system includes a database with historical sales data and a server equipped with a processor and memory. It processes historical sales data to train machine learning models that can predict future sales based on identified causal factors.

Career Highlights

Currently, Martin Hahn is associated with Blue Yonder Group, Inc., where he applies his expertise in machine learning to develop innovative solutions. His work involves training machine learning models to generate accurate sales predictions, which can significantly enhance decision-making processes in retail and other sectors.

Collaborations

Martin collaborates with talented individuals such as Moritz Wolf and Felix Christopher Wick, contributing to a dynamic team focused on advancing machine learning technologies.

Conclusion

Martin Hahn's contributions to machine learning integration and automated testing are paving the way for more efficient data utilization in various industries. His innovative patent and collaborative efforts highlight his commitment to advancing technology in meaningful ways.

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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