Tel Aviv, Israel

Gabrielle Zaghdoun Azoulay


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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2 patents (USPTO):Explore Patents

Title: Gabrielle Zaghdoun Azoulay: Innovator in Artificial Intelligence

Introduction

Gabrielle Zaghdoun Azoulay is a prominent inventor based in Tel Aviv, Israel. She has made significant contributions to the field of artificial intelligence, particularly in the area of anomaly detection and fraud prediction. With a total of 2 patents, her work is paving the way for advancements in financial security and data analysis.

Latest Patents

Gabrielle's latest patents include an "Artificial intelligence system for anomaly detection in transaction data sets." This innovative system is designed to detect anomalies in transaction data using a machine learning model. It involves a processor and a computer-readable medium that executes various modeling operations to enhance the accuracy of anomaly detection.

Another notable patent is the "Computerized-method and system for predicting a probability of fraudulent financial-account access." This method utilizes a machine learning sequence model to predict the likelihood of fraudulent access to financial accounts. It incorporates a forward-propagation routine that mimics the processing of non-financial activities to generate a fraud probability score.

Career Highlights

Gabrielle currently works at Actimize Ltd., where she applies her expertise in artificial intelligence to develop innovative solutions for financial institutions. Her work focuses on enhancing security measures and improving the efficiency of fraud detection systems.

Collaborations

Gabrielle collaborates with talented professionals in her field, including Danny Butvinik and Shubhanshu Sharma. These partnerships contribute to the development of cutting-edge technologies that address critical challenges in financial security.

Conclusion

Gabrielle Zaghdoun Azoulay is a trailblazer in the realm of artificial intelligence, with her patents reflecting her commitment to innovation and security. Her contributions are instrumental in shaping the future of fraud detection and anomaly analysis in financial transactions.

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