Articles (2) Patents (2)
Data Infrastructure and Services in Engineering

Anomaly Detection — Product of Data Refinery

Large scale applications are ubiquitous in today's world, processing hundreds of billions of events and producing thousands of metrics. Sifting through these metrics to surface actionable insights without using scientific methods can be challenging. In this blog post, we explore an introduction to the realm of predictive analytics in the context of anomaly detection.

By: Ahmed Abdulaal and Subrahmanya Harve
Coding Practices in Engineering

The Sprinting Pachyderm: Improving Runtime Performance of Your Big Data Application

By: Subrahmanya Harve

Abstract:

A system, method, and computer program product for generating item recommendations based on sensor data captured by sensors on client machines. A server processes collected sensor data to estimate user physical activity based on sensor data patterns, and forms a user profile based on the estimated user physical activity. The server associates the user profile with relevant product or service recommendations, based on previous purchases by a user or by others matching the user profile. The user may make a purchase based on the displayed recommendations or forward the recommendations to others. The recommendations include discounts based on the user profile. Subsequent sensor data showing satisfaction with a purchased item serves as a testimonial to user satisfaction with the item. The sensor data may be collected from a user in an augmented or virtual reality system, and the recommendations may be displayed in such a system.

Country: Republic of Korea
Grant Date: July 4, 2022
INVENTORS: Subrahmanya Harve, Deepak Vasthimal

Abstract:

A system, method, and computer program product for generating item recommendations based on sensor data captured by sensors on client machines. A server processes collected sensor data to estimate user physical activity based on sensor data patterns, and forms a user profile based on the estimated user physical activity. The server associates the user profile with relevant product or service recommendations, based on previous purchases by a user or by others matching the user profile. The user may make a purchase based on the displayed recommendations or forward the recommendations to others. The recommendations include discounts based on the user profile. Subsequent sensor data showing satisfaction with a purchased item serves as a testimonial to user satisfaction with the item. The sensor data may be collected from a user in an augmented or virtual reality system, and the recommendations may be displayed in such a system.

Country: Republic of Korea
Grant Date: January 13, 2022
INVENTORS: Subrahmanya Harve, Deepak Vasthimal
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Subrahmanya Harve