Warren Gleich

Title: Warren Gleich: Innovator in Machine Learning Archive Mechanisms

Introduction

Warren Gleich is an accomplished inventor based in Goffstown, NH (US). He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on creating mechanisms that enhance the reliability and transparency of machine learning applications.

Latest Patents

Warren Gleich holds a patent for a "Machine learning archive mechanism using immutable storage." This invention describes an apparatus and method for providing an immutable audit trail for machine learning applications. The audit trail is preserved by recording machine learning models and data in a data structure within immutable storage, such as a WORM device, cloud storage facility, or blockchain. This immutable audit trail is crucial for providing bank auditors with the necessary reasons for lending or account opening decisions. Additionally, a graphical user interface is included to allow users to view the archive of machine learning models.

Career Highlights

Warren Gleich is currently employed at Bottomline Technologies (De) Inc., where he continues to develop innovative solutions in the technology sector. His expertise in machine learning and data storage has positioned him as a valuable asset to his company.

Collaborations

Warren collaborates with Richard A Baker, Jr., who is also a key figure in their projects. Their combined efforts contribute to advancing the field of machine learning and its applications.

Conclusion

Warren Gleich's contributions to machine learning through his patent demonstrate his commitment to innovation and technology. His work not only enhances the functionality of machine learning applications but also ensures accountability and transparency in their use.