Pandas for Movement Data Analysis & NLP for Automated Document Reading – Revisited

The analysis of movement is an important research topic in, for example, geography, ecology, visual analytics, GIScience as well as in application domains such as urban, maritime, and aviation research. Movement data analysis requires tools for the manipulation and visualization of movement or trajectory data. This talk presents the new Python library MovingPandas.org

Link to the presentation: https://www.slideshare.net/viennaDSG/anita-graser-analyzing-movment-data-with-movingpandas

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.

Link to the slides: https://www.slideshare.net/viennaDSG/nlp-in-a-bank-automated-document-reading-yevgen-kolesnyk-patrik-zatko-daniel-bekesi

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