Redwood City, CA, United States of America

Joseph Ari Ross

This inventor holds 29 USPTO granted patents and 9 published patent applications, primarily in Data Analytics. Top assignees: Splunk Inc., Cisco Technology, Inc., Splunkinc.. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Joseph Ari Ross. Retrieved from https://idiyas.com/inventor/joseph-ari-ross

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 29 

% Patents Active = 96.6

Average Co-Inventor Count = 2.1

ph-index = 5

Forward Citations = 75(Granted Patents)


Company Filing History:


Years Active: 2020-2026

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Areas of Expertise:
Time-Series Analysis
Anomaly Detection
Performance Monitoring
Data Streams
Hyperparameter Tuning
Event Analysis
Root Cause Identification
Real-Time Analytics
Metric Data Streams
Instrumented Software
Dynamic Resolution Estimation
Automated Provisioning
29 patents (USPTO):Explore Patents

Title: Joseph Ari Ross: Innovator in Data Analytics and Anomaly Detection

Introduction

Joseph Ari Ross, based in Redwood City, CA, is an accomplished inventor with a remarkable portfolio of 22 patents. His innovative contributions primarily focus on data analytics and machine learning, particularly in the realm of anomaly detection and performance metrics for microservices.

Latest Patents

Among Ross's latest patents is a method for generating span-related metric data streams by an analytic engine. This groundbreaking approach involves the ingestion of multiple spans, which are then mapped to unique span identities that encompass various user-configured dimensions. The process allows for the grouping of spans by their identities and the computation of metrics, ultimately generating a stream of metric data that enhances the understanding of microservices-based applications.

Another significant patent focuses on hyperparameter tuning for an anomaly detection service utilizing machine learning forecasting. This invention introduces a system that analyzes time-series datasets, calculating error values by comparing predicted data points against actual values. The algorithm also identifies a sensitivity threshold, determining which points should be flagged as anomalies, while accommodating seasonal patterns in the dataset through a specialized forecasting algorithm.

Career Highlights

Joseph Ari Ross is currently a key figure at Splunk Inc., where he leverages his expertise to drive innovation in data analytics platforms. His career is marked by a commitment to developing technologies that improve the efficiency and effectiveness of data processing and anomaly detection, cementing his reputation as a leader in his field.

Collaborations

Ross has collaborated with notable professionals, including Gergely Danyi and Maxime Petazzoni, contributing to a collaborative environment that fosters creativity and innovation. Together, they have worked on advancing technologies that address complex challenges in data analytics, utilizing their combined expertise to push the boundaries of current solutions.

Conclusion

Joseph Ari Ross exemplifies the spirit of innovation through his extensive work in data analytics and machine learning. With a solid track record of patented inventions, Ross continues to make significant contributions to the technology landscape, particularly in the areas of anomaly detection and performance monitoring in modern applications. His ongoing work at Splunk Inc. and partnerships with fellow innovators highlight the importance of collaboration in driving technological advancement.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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