Pandas for Movement Data Analysis & NLP for Automated Document Reading

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

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.

On our next meetup, you will get introduced of MovingPandas, a new locally brewed Python library, and you will hear a use-case from RBI’s Data Science team on how banks do automated document reading with the help of NLP tools. Doors open at 18:00. Hope to see you there!

SPEAKERS

Anita Graser: Python for Movement Data Analysis 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 Anita is a Scientist at AIT Austrian Institute of Technology (center for mobility systems) Check out Anita’s detailed bio here: https://anitagraser.com/about/ Linkedin: https://at.linkedin.com/in/anita-graser-9510253

Daniel Bekesi: NLP in a bank – Automated Document Reading 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 is a Senior Data Scientist at Raiffeisen Bank International. He has trained and tested in various domains of data analytics & science. In that vein, he is well equipped to consult and be a mentor to business professionals seeking high reward from data. LinkedIn: https://www.linkedin.com/in/dániel-békési-phd-787ab897

AGENDA

18:00-18:30 get together 18:30-18:45 intro speech VDSG+RBI 18:45-19:15 Anita Graser: Python for Movement Data Analysis 19:15-19:45 Daniel Bekesi: NLP in a bank – Automated Document Reading 20:00-21:00 socializing 21:00-NA more socializing in a pub

Hosting and Catering are provided by Raiffeisen Bank International.

Here is the meetup link.