Avishay Farbstein

Title: Avishay Farbstein: Innovator in Machine Learning for Transaction Processing

Introduction

Avishay Farbstein is a notable inventor based in Bruchin, IL, known for his contributions to machine learning algorithms aimed at enhancing transaction processing systems. With five patents to his name, his work primarily focuses on improving fraud detection and minimizing exceptions in financial transactions.

Latest Patents

Avishay's latest patents reflect his innovative approach to leveraging technology in the banking and transaction sectors. One such patent is for a "Transaction exception and fraud processing" system, where a machine-learning algorithm is designed to analyze transactions based on operator data and product hierarchies. This algorithm predicts whether a transaction should continue processing or require management approval due to potential fraud.

Another significant patent is titled "Data-driven machine-learning theft detection." This invention involves an algorithm trained to assess basket data from transactions, predicting the likelihood of theft by a transaction operator. When the algorithm identifies a high theft prediction value, it prompts manual intervention or verification, ensuring greater security and integrity in transaction handling.

Career Highlights

Avishay Farbstein is currently associated with NCR Corporation, a leader in providing technology solutions for the financial and retail sectors. Through his role, he continues to innovate and improve the methodologies used in transaction processing, paving the way for enhanced security measures in the industry.

Collaborations

At NCR Corporation, Avishay collaborates with skilled professionals such as Itamar David Laserson and Tali Shpigel. Their combined expertise fosters an environment where groundbreaking ideas in transaction technologies can thrive, ultimately benefiting users across various platforms.

Conclusion

Avishay Farbstein's contributions to machine learning in transaction processing illustrate a commitment to innovation that addresses real-world challenges in fraud detection and transaction management. His inventions not only enhance the capabilities of financial systems but also promote a safer transactional environment for users. As he continues to develop new solutions, his work remains vital in the evolution of secure transaction technology.