IRMAC General Meeting



Detective Data Work: Emergent AI Practices and Anti-Money Laundering

Reducing the money flow in criminal activities had a major boast after the events of 9/11/2001. Now Artificial Intelligence (AI) and Machine Learning (ML) techniques are beginning to revolutionize practices in this field. In this session our expert panelist will explore what anti-money laundering efforts look like, and the complexities in sifting through vast data volumes, data quality and identification in an effort to make their findings ‘explainable’.

Speakers

Roger Vandomme has been built a career on the fundamentals of data analysis, predictive modeling and related decision-making. With 20 years in the credit bureau industry, creating credit scores all around the world, Roger has an outstanding unmatched skill-set in the field of predictive modeling. He has completed numerous studies and research on decision heuristics and biases, developing reasoning methods and processes around systemic design and game theory.

Roger holds a Master’s degree in Applied Mathematics from Paris University, an MBA from Queen’s University, and a Master in Defense Studies with the Royal Military College.

Dr Fiona Browneis Head of Artificial Intelligence at Datactics, with over 16 years research and industrial experience. She is responsible for overseeing the integration of AI/ML solutions into the Datactics platform which provides data quality and matching at scale to clients in banking, financial services and government.

Prior to this Fiona was a Lecturer in Computing Science at Ulster University teaching Data Analytics and a research focus on applied artificial intelligence and data integration. She was a Research Fellow at Queen’s University Belfast and a Senior Software Developer at PathXL. She received the BSc.(Hons.) degree in Computing Science from the University of Ulster, Belfast, N. Ireland in 2004. In 2009 she received a PhD on Artificial Intelligence in Bioinformatics from the University of Ulster for her work on developing integrative data analysis models and tools for the prediction of protein-protein interaction networks. She has published over 50 articles in peer reviewed international journals and conference proceedings.


Meeting: Wednesday, July 15, 2020

5 p.m. Start; Expected finish 6:00 p.m.

Just go HERE on the day of

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