Company Filing History:
Years Active: 2021
Title: Inventor Spotlight: Steven Marshall Cohen
Introduction
Steven Marshall Cohen is an innovative inventor based in San Mateo, California. He has made significant contributions to the field of database systems with a particular focus on optimizing cache performance. His inventive approach has led to the development of a unique patent aimed at enhancing data retrieval processes.
Latest Patents
Steven holds a patent titled "Cache Optimization for Missing Data." This patent addresses a common problem in database systems by improving how records are retrieved when they are not immediately available in the cache. The patent details a process whereby the database system first checks the cache for a requested record. If the record is not found, it then checks the data store. If the record is still unavailable, a dummy entry is created in the cache. This process ensures that users receive timely updates regarding the availability of requested data, streamlining database operations.
Career Highlights
Steven is currently employed at Salesforce.com, Inc., a leading cloud-based software company known for its customer relationship management services. His innovative work not only enhances Salesforce's product offerings but also demonstrates his commitment to improving database efficacy. With only one patent to his name, Steven's contributions reflect a focused expertise in database optimization.
Collaborations
Throughout his career, Steven has collaborated with notable colleagues, including Pallavi Savla and Gurdeep Singh Sandle. These collaborations have fostered a creative work environment that encourages innovation and drives advancements within the company.
Conclusion
Steven Marshall Cohen stands out as a skilled inventor in the tech industry, with his patent on cache optimization demonstrating his capability in addressing challenges within database systems. As he continues to work at Salesforce.com, Inc., his contributions will undoubtedly play a pivotal role in shaping the future of data management technologies.