Company Filing History:
Years Active: 2020-2023
Title: The Innovative Mind of Patrick Daniel Wildi
Introduction: Patrick Daniel Wildi, based in Oakland, CA, is an accomplished inventor known for his significant contributions to data management systems. With a suite of three patents to his name, Wildi has made strides in developing methodologies that enhance efficiency and accessibility in data organization.
Latest Patents: Among his notable achievements is the invention of the "Fast Circular Database." This innovative data management system and method focuses on optimizing the handling of timestamped data records. The patented method encompasses receiving data records that fall within a defined time interval, creating a data cube filled with data planes, and generating an index hypercube to efficiently access the data. The indexed data cube includes both the data cube and the index hypercube, where each index element uniquely maps to a corresponding data plane in the cube. This groundbreaking approach simplifies the complexities associated with large-scale data management.
Career Highlights: Wildi is currently associated with Cisco Technology, Inc., where he utilizes his expertise to develop advanced solutions in data management. His inventions reflect a deep understanding of both theoretical concepts and practical applications, ultimately contributing to the efficiency of data systems at a corporate level.
Collaborations: Throughout his career, Wildi has collaborated with talented colleagues including Khanh Vinh Nguyen and Naveen Kumar Tyagi. These partnerships have fostered an environment of innovation, enabling them to combine their skills and ideas to enhance technological advancements in their field.
Conclusion: Patrick Daniel Wildi continues to push the boundaries of data management with his inventive spirit. His work not only stands as a testament to his capabilities as an inventor but also serves as an inspiration for future innovations in the industry. As technology evolves, Wildi’s contributions will likely pave the way for new methodologies that further refine the management of large-scale data systems.