Company Filing History:
Years Active: 2023-2024
Title: David Beilis: Innovator in Real-Time Anomaly Detection and User Emotion Analysis
Introduction
David Beilis is a notable inventor based in Vaughan, Canada. He has made significant contributions to the fields of anomaly detection and user emotion analysis through his innovative patents. With a total of 2 patents, Beilis continues to push the boundaries of technology in his work.
Latest Patents
One of Beilis's latest patents is titled "Real-time anomaly determination using integrated probabilistic system." This invention involves detecting an audio stream during a communication session with a user. It utilizes natural language processing to update a set of attributes based on the audio stream. The updated attributes are then used to query databases to obtain datasets, which help determine the probability of an anomaly occurring. If the probability meets a certain threshold, a record is updated to indicate that the threshold has been satisfied.
Another significant patent is "Systems and methods for providing user emotion information to a customer service provider." This patent outlines a method for transmitting application data to a user device, which includes a camera. The device captures user feedback data indicative of the user's emotional state during the usage of a functionality. This data is then input into a machine learning model to assess the user's emotional state, which is subsequently provided to the customer service provider.
Career Highlights
David Beilis is currently employed at Capital One Services, LLC, where he applies his expertise in technology and innovation. His work focuses on enhancing user experiences through advanced systems that analyze communication and emotional feedback.
Collaborations
Some of his notable coworkers include Alexey Shpurov and Mohammad Nejad-Sattary, who contribute to the innovative environment at Capital One Services, LLC.
Conclusion
David Beilis stands out as an inventor dedicated to improving communication technologies and user experience through his patents. His work in real-time anomaly detection and user emotion analysis showcases his commitment to innovation in the tech industry.