This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Sap Se. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations of Matthias Hirsch in Machine Learning
Introduction
Matthias Hirsch is an accomplished inventor based in Guntersblum, Germany. He has made significant contributions to the field of machine learning, particularly in the area of technical configuration. His innovative approach focuses on aligning machine learning models with operational requirements, making technology more accessible and efficient for users.
Latest Patents
Matthias Hirsch holds a patent for "Requirements driven machine learning models for technical configuration." This patent outlines techniques and solutions for obtaining suggested configurations for configurable objects. The invention emphasizes the importance of user familiarity with operational requirements, allowing for more tailored recommendations based on technical characteristics. The disclosed techniques include a solutions category that encompasses various subtypes, enabling the definition of sets of requirements attributes and configuration attributes. A first machine learning model is trained using these attributes to recommend specific solutions based on input requirement values.
Career Highlights
Matthias Hirsch is currently employed at SAP SE, a leading enterprise software company. His work at SAP involves leveraging his expertise in machine learning to enhance technical configurations and improve user experiences. His innovative contributions have positioned him as a valuable asset within the organization.
Collaborations
Matthias collaborates with talented professionals such as Akshay Sinha and Mitchell Clark. Together, they work on advancing machine learning technologies and exploring new solutions that can benefit various industries.
Conclusion
Matthias Hirsch's work in machine learning and technical configuration showcases his innovative spirit and dedication to improving technology. His patent and contributions at SAP SE highlight the importance of aligning machine learning with user requirements, paving the way for more effective solutions in the future.