This inventor holds 1 USPTO granted patent. Top assignee: Salesforce, Inc.. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Innovations by Luke Sedney in Data Science
Introduction
Luke Sedney is an accomplished inventor based in San Mateo, CA. He has made significant contributions to the field of data science, particularly in the realm of machine learning. His innovative work focuses on creating frameworks that enhance the efficiency and effectiveness of data experiments.
Latest Patents
Luke Sedney holds a patent for a "Framework for multi-tenant data science experiments at-scale." This patent describes a system and methods that provide an experimentation framework, allowing users to perform machine learning experiments on tenant data within a multi-tenant database system. The system includes an experimental interface that enables the modification of machine learning algorithms, parameters, and tenant data fields. Importantly, the user may be restricted from viewing tenant data or may only access a portion of it. After generating an experimental model, users can compare its performance against a current production model.
Career Highlights
Luke Sedney is currently employed at Salesforce, Inc., where he applies his expertise in data science and machine learning. His work at Salesforce has positioned him as a key player in developing innovative solutions that leverage data for better decision-making.
Collaborations
Some of Luke's notable coworkers include Sarah Aerni and Till Christian Bergmann. Their collaborative efforts contribute to the advancement of data science initiatives within their organization.
Conclusion
Luke Sedney's contributions to data science through his innovative patent and work at Salesforce, Inc. highlight his role as a leading inventor in the field. His advancements in machine learning experimentation frameworks are paving the way for more efficient data analysis and application.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
