Tel Aviv, Israel

Yossef Hai Ben David

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Yossef Hai Ben David: Innovator in Predictive Insights

Introduction

Yossef Hai Ben David is a notable inventor based in Tel Aviv, Israel. He has made significant contributions to the field of artificial intelligence and user activity analysis. With a total of 2 patents, his work focuses on generating predictive insights that enhance user experience and understanding.

Latest Patents

Yossef's latest patents include "Automated generation of predictive insights classifying user activity" and "Automated generation of early warning predictive insights about users." The first patent discusses the application of AI processing to classify user activity for groups, such as students in an educational setting. It emphasizes the use of dimensionality reduction to manage user activity data effectively, leading to improved accuracy in generating binary classifications. The second patent outlines the automated generation of early warning insights derived from user activity data on a distributed software platform. This innovation utilizes trained AI modeling to identify changes in user behavior patterns, providing actionable insights through graphical user interface notifications.

Career Highlights

Yossef Hai Ben David is currently associated with Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in the realm of predictive analytics. His work has been instrumental in advancing the understanding of user behavior through AI technologies.

Collaborations

Yossef collaborates with talented individuals such as Daniel Sitton and Shay Ben-Elazar, contributing to a dynamic environment of innovation and creativity.

Conclusion

Yossef Hai Ben David stands out as a pioneering inventor in the field of predictive insights, leveraging artificial intelligence to enhance user understanding and engagement. His contributions are shaping the future of user activity analysis and predictive modeling.

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