Steven Scott Noble

Title: The Innovations of Steven Scott Noble

Introduction

Steven Scott Noble, an accomplished inventor based in Soquel, CA, has made significant contributions to the field of technology with a focus on site speed performance and data analysis. With a remarkable portfolio of five patents, he stands out as a noteworthy figure in the innovation landscape.

Latest Patents

Among his latest inventions, Noble has developed several groundbreaking technologies. One of his key patents is titled "Statistical Detection of Site Speed Performance Anomalies." This system processes data by obtaining a current window of time-series data collected from a monitored system. It continuously performs statistical hypothesis tests to detect any deviations from baseline values, providing alerts for anomalies in site performance.

Another significant patent, "Root Cause Investigation of Site Speed Performance Anomalies," describes a system that analyzes components of time-series performance metrics related to identified anomalies. By assessing each component against its historical baseline, the system can alert users of statistically significant deviations, thus aiding in the identification of root causes for performance issues.

Career Highlights

Noble has had a distinguished career with notable positions at prominent companies, including Microsoft Technology Licensing, LLC and Amazon Technologies, Inc. His experiences at these industry giants have significantly shaped his approach to innovation and data processing technologies.

Collaborations

Throughout his career, Steven Scott Noble has worked alongside talented colleagues such as Ritesh Maheshwari and Liang Zhang. These collaborations have likely fueled the innovative spirit behind his patents, resulting in cutting-edge solutions for performance monitoring and analysis.

Conclusion

With a strong foundation in technology and a dedication to innovation, Steven Scott Noble continues to make an impact on the industry. His patents not only reflect his expertise in statistical analysis and data processing but also demonstrate his commitment to advancing technology for improved system performance. As the digital landscape evolves, his contributions will undoubtedly influence future developments in the field.