Drew R Galow

Title: Innovations by Drew R Galow

Introduction

Drew R Galow is an accomplished inventor based in Toronto, Canada. He has made significant contributions to the field of predictive modeling and document summarization. With a total of 2 patents, his work focuses on enhancing transaction monitoring systems through innovative technologies.

Latest Patents

Drew's latest patents include systems and methods for risk factor predictive modeling with document summarization. This invention generates summarized articles and risk factor categorizations for display at a graphical user interface (GUI) dashboard. The transaction monitoring system features an adverse media dashboard pipeline that processes risk factor alerts and generates document summarizations for display at user devices. The document summarization process extracts several sentences from a source text and stacks them to create a summary. The method employs a machine learning word embedding model to create a vector representation of each sentence and generates a sentence similarity matrix by computing cosine similarity values. A sentence graph creation algorithm constructs a graph corresponding to the sentence similarity matrix and calculates importance scores used in selecting sentences for the document summary. The GUI dashboard is designed with multiple regions for displaying alert report records, media records, and graphical user interface layouts of document summaries and risk factor visualizations.

Career Highlights

Drew R Galow currently works at the Bank of Montreal, where he applies his expertise in developing advanced systems for risk assessment and document processing. His innovative approach has positioned him as a key player in the financial technology sector.

Collaborations

Drew collaborates with Meera Das, contributing to the development of cutting-edge solutions in their field.

Conclusion

Drew R Galow's contributions to predictive modeling and document summarization demonstrate his commitment to innovation in technology. His work continues to influence the landscape of transaction monitoring systems, showcasing the importance of advancements in this area.