Vasily Korf

Title: Vasily Korf: Innovator in XBRL Tag Outlier Detection

Introduction

Vasily Korf is a notable inventor based in Berlin, Germany. He has made significant contributions to the field of data analysis, particularly in the area of XBRL (eXtensible Business Reporting Language) tag outlier detection. With a total of two patents to his name, Korf's work is paving the way for advancements in financial data reporting and analysis.

Latest Patents

Korf's latest patents focus on systems and methods for XBRL tag outlier detection. These patents disclose innovative systems and methods that include several key steps. The process begins with receiving a first set of XBRL data records, followed by generating a second set based on a subset of the first set. A machine learning model is then trained using both sets of data records. The method continues with the reception of an XBRL document associated with one or more assigned XBRL tags. Finally, the XBRL document is analyzed using the trained machine learning model to identify a set of outlier XBRL tags.

Career Highlights

Korf is currently employed at Workiva Inc., a company known for its innovative solutions in financial reporting and compliance. His work at Workiva has allowed him to apply his expertise in data analysis and machine learning to real-world applications, enhancing the efficiency and accuracy of financial data reporting.

Collaborations

Throughout his career, Korf has collaborated with talented professionals such as David Palazzo and Lisa Teofilo. These collaborations have contributed to the development of his innovative patents and have fostered a creative environment for advancing technology in data analysis.

Conclusion

Vasily Korf is a distinguished inventor whose work in XBRL tag outlier detection is making a significant impact in the field of financial data analysis. His contributions through patents and collaborations highlight his commitment to innovation and excellence in technology.