Manuel Zeise

Title: Innovations by Manuel Zeise

Introduction

Manuel Zeise is a notable inventor based in Karlsruhe, Germany. He has made significant contributions to the field of machine learning, holding a total of five patents. His work focuses on enhancing data processing pipelines and improving the efficiency of machine learning models.

Latest Patents

One of his latest patents is titled "Runtime estimation for machine learning data processing pipeline." This invention involves constructing a data processing pipeline designed to generate a machine learning model for specific tasks associated with input datasets. The process includes multiple machine learning trials, each applying different types of models and parameters. A runtime estimate for generating the machine learning model is determined, allowing for effective time budget allocation. Another significant patent is "Preparing data for machine learning processing." This invention details a method for preparing data by encoding spatial data, mapping it to a grid system, and embedding various data types to train and deploy machine learning models effectively.

Career Highlights

Manuel Zeise is currently employed at SAP SE, where he continues to innovate in the realm of machine learning and data processing. His expertise has led to advancements that benefit both his company and the broader technology landscape.

Collaborations

He collaborates with talented coworkers, including Isil Pekel and Steven Jaeger, who contribute to his projects and enhance the innovative environment at SAP SE.

Conclusion

Manuel Zeise's contributions to machine learning and data processing are noteworthy, showcasing his dedication to innovation and collaboration in technology. His patents reflect a commitment to improving the efficiency and effectiveness of machine learning applications.