NLP in a Bank: Automated Document Reading: Yevgen Kolesnyk / Patrik Zatko / Daniel Bekesi
Channel: Vienna Data Science Group
Date: 02/12/2019

Despite the fast pace of digitalization happening in the modern world, core processes in the banking area are still based on printed documents to a large extent. Document processing, therefore, consumes a significant amount of manpower and processing time, as well as an increasing operating risk level of the bank by being prone to human errors. In this session, you will learn how automated document processing can create a great opportunity to modernize and simplify the way modern banks work, reduce associated operation risk level, as well as reduce time and costs spent within a given process area.

Daniel Bekesi and his colleagues (sata scientists at Raiffeisen Bank International) talk at Vienna Data Science Group Knowledgefeed vol. 30

Slides: https://viennadatasciencegroup.at/2019/12/02/pandas-for-movement-data-analysis-nlp-for-automated-document-reading-revisited/