This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Bank of America Corporation. Active years: 2020.
Company Filing History:
Years Active: 2020
Title: The Innovative Mind of Shawn Parris Bench
Introduction
Shawn Parris Bench is an accomplished inventor based in Wilmington, Delaware. With a focus on leveraging technology to enhance data processing, he has made significant strides in the field of real-time anomaly detection. His innovation is a testament to the potential of machine learning and artificial intelligence to transform traditional data monitoring methods.
Latest Patents
Shawn holds a patent for a groundbreaking invention titled "Cross-channel detection system with real-time dynamic notification processing." This invention introduces a sophisticated system and method that utilizes machine learning and artificial intelligence engines to monitor data streams in real-time across multiple channels. The system is designed to detect anomalies and generate prioritized alerts, allowing for continuous data collection and real-time comparisons with reference data. By updating confidence levels and detecting inconsistencies, the invention enables timely notifications to users and enhances overall responsiveness.
Career Highlights
Currently, Shawn is part of the esteemed Bank of America Corporation, where he contributes his expertise to drive innovation within the organization. His work demonstrates a commitment to integrating advanced technological solutions into financial operations, reflecting a broader trend in banking towards enhanced data-driven decision-making.
Collaborations
Throughout his career, Shawn has collaborated with talented professionals, including colleagues Eren Kursun and Craig Douglas Widmann. Their combined expertise fosters an environment of creativity and innovation, allowing them to explore new frontiers in technology and data analysis.
Conclusion
Shawn Parris Bench exemplifies the spirit of innovation with his patent on a cross-channel detection system. His work not only enhances data monitoring capabilities but also showcases the potential of machine learning and artificial intelligence in various industries. With a strong foundation in technology and collaboration, Shawn continues to pave the way for future advancements in anomaly detection and real-time processing.