This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Zeta Global Corp.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Matus Chladek: Innovator in Media Optimization
Introduction
Matus Chladek is a notable inventor based in New York, NY (US). He has made significant contributions to the field of media optimization through his innovative patent. His work focuses on enhancing the efficiency of online media campaigns, which is crucial in today's digital landscape.
Latest Patents
Matus Chladek holds a patent titled "Optimizing media requests with ensemble learning." This technology aims to optimize media requests to improve efficiency and reduce costs associated with online media campaigns. The system utilizes ensemble learning techniques that leverage multiple machine learning systems trained on different datasets. By generating optimized media requests that align with campaign goals, the system minimizes price inefficiencies encountered during the purchase of placements in online media exchanges. Additionally, it incorporates dynamic data, including real-time exchange and impression data, to retrain machine learning systems, thereby enhancing the performance of optimized media requests.
Career Highlights
Matus Chladek is currently employed at Zeta Global Corp., where he applies his expertise in media optimization. His innovative approach has positioned him as a key player in the industry, contributing to the advancement of online marketing strategies.
Collaborations
Matus has collaborated with talented individuals such as Zachary D Jones and Danny Portman. These partnerships have fostered a creative environment that encourages the development of cutting-edge solutions in media optimization.
Conclusion
Matus Chladek's contributions to the field of media optimization through his patent demonstrate his commitment to innovation. His work not only enhances the efficiency of online media campaigns but also sets a precedent for future advancements in the industry.
