New York, NY, United States of America

Gali Konky

This inventor holds 1 USPTO granted patent and 2 EPO patents. Top assignee: Liveperson, Inc.. Active years: 2022.


% Patents Active = 100.0

 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Gali Konky: Innovator in Dynamic Response Prediction

Introduction

Gali Konky is a prominent inventor based in New York, NY (US). She has made significant contributions to the field of communication technology, particularly in the area of dynamic response prediction for improved bot task processing. Her innovative approach utilizes machine learning techniques to enhance communication sessions with network devices.

Latest Patents

Gali holds a patent for her invention titled "Dynamic response prediction for improved bot task processing." This patent outlines systems and methods for predicting responses during communication sessions with network devices. The invention involves storing messages received through a platform in a repository and training a machine learning model using these stored messages. During a communication session, the model can predict future responses in real-time, which can then be presented at the terminal device. This allows for a more efficient and responsive interaction between users and network devices.

Career Highlights

Throughout her career, Gali has worked with notable companies such as LivePerson, Inc. and Ron, Ofer. Her experience in these organizations has allowed her to refine her skills and contribute to advancements in communication technologies. Gali's work has been instrumental in bridging the gap between human interaction and automated systems.

Collaborations

Gali has collaborated with talented individuals such as Ofer Ron and Eran Vanounou. These partnerships have fostered innovation and have led to the development of cutting-edge solutions in the tech industry.

Conclusion

Gali Konky is a trailblazer in the field of dynamic response prediction, with a focus on enhancing communication through machine learning. Her contributions and collaborations have positioned her as a key figure in the advancement of technology.

Profile summary based on public USPTO records.
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