Berlin, Germany

Martin Zuber

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Sap Se. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Martin Zuber: Innovator in Chatbot Technology

Introduction

Martin Zuber is a notable inventor based in Berlin, Germany. He has made significant contributions to the field of chatbot technology, particularly in integrating enterprise resource planning (ERP) systems with large language models. His innovative approach has the potential to enhance user interaction with complex data systems.

Latest Patents

Martin Zuber holds a patent for a groundbreaking invention titled "Chatbot access to ERP data using large language model with intermediate query representation." This patent outlines a design-time environment that assists developers in creating and maintaining chatbot capabilities. The run-time environment facilitates user interaction by translating user queries into structured formats that ERP systems can understand. This process involves several steps, including identifying capabilities, generating prompts for large language models, and processing results for user presentation. He has 1 patent to his name.

Career Highlights

Martin Zuber is currently employed at SAP SE, a leading company in enterprise software solutions. His work focuses on enhancing the functionality of chatbots in accessing and processing ERP data. His innovative contributions have positioned him as a key player in the development of intelligent systems that improve business operations.

Collaborations

Martin collaborates with talented professionals in his field, including Christoph Meyer and Xiang Yu. Their combined expertise fosters a creative environment that drives innovation in chatbot technology.

Conclusion

Martin Zuber's work exemplifies the intersection of technology and user experience in the realm of enterprise solutions. His contributions are paving the way for more intuitive interactions with complex data systems.

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