Heidelberg, Germany

Martin Hoecker

This inventor holds 1 USPTO granted patent. Top assignee: Sap Se. Active years: 2022.


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Martin Hoecker: Innovator in Predictive Systems

Introduction

Martin Hoecker is a notable inventor based in Heidelberg, Germany. He has made significant contributions to the field of predictive systems, particularly through his innovative patent that addresses the identification of missing items in documents. His work exemplifies the intersection of technology and machine learning, showcasing the potential for advancements in data processing.

Latest Patents

Martin Hoecker holds a patent for a system designed to predict missing items within received documents. The patent outlines a method that utilizes a data processor and memory to determine the likelihood of missing items based on a machine learning model. This innovative approach not only enhances document processing but also provides valuable insights by indicating potential missing items.

Career Highlights

Currently, Martin Hoecker is associated with SAP SE, a leading enterprise software company. His role at SAP SE allows him to leverage his expertise in predictive systems and contribute to the development of advanced technological solutions. His work is instrumental in driving innovation within the company and the industry at large.

Collaborations

Martin collaborates with talented individuals such as Luca Toldo and Konrad Schenk. These partnerships foster a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

In summary, Martin Hoecker is a distinguished inventor whose work in predictive systems has the potential to transform document processing. His contributions at SAP SE and his innovative patent reflect his commitment to advancing technology and improving efficiency in data management.

Profile summary based on public USPTO records.
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