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#dirtymoney: Detecting Money Laundering w/ Machine Learning

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#dirtymoney: Detecting Money Laundering w/ Machine Learning

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Dublin Makers,

Join us this evening for our first meetup in Dublin with Ashrith Barthur from H2O as he continues his #dirtymoney series.

Very special thanks to Deidre and the Zalando team for hosting us and providing food and beverage.

Want to be the second speaker?

Please reach out: ian@h2o.ai

Agenda

6:00 - 6:30 PM - Doors open, pizza and beer

6:30 - 7:15 PM - Ashrith's talk

7:15 - 8:00 PM - Speaker 2 - TBD

8:00 - 8:30 PM - Q&A and networking

Talk 1:

In this talk, Ashrith will be introducing you to the idea of using machine learning for detecting money laundering. The idea behind using ML for detecting money laundering is that the current rules-based engine have limited visibility into money movement. And as models learn the nuances of money movement, especially illegal, much better money laundering detection is possible.

Bio: Ashrith Barthur is a Security Scientist at H2O currently working on algorithms that detect anomalous behaviour in user activities, network traffic, attacks, financial fraud and global money movement. He has a PhD from Purdue University in the field of information security, specialized in Anomalous behaviour in DNS protocol. https://www.linkedin.com/in/abarthur/

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