Author

Marcin Nadolny
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Marcin is a thought leader on fraud, and is accountable for defining the go-to-market strategy, business development, support of implementations with expert knowledge, fraud analytics and resources. He is an experienced data scientist and expert in machine learning applications in business. He has over 15 years of professional experience in advanced analytics and fraud detection, he gained also at PwC, Toyota Bank and at DaimlerChrysler R&D. Marcin leads the South EMEA (South & Eastern Europe, Middle East and Africa) regional team of fraud experts, engineers and data scientists. He is responsible for Fraud, Compliance and Security Customer Advisory cross-industry and across the whole region. Marcin is graduated in mathematics from the University of Warsaw, and also holds a Master of Science degree in Applied Computer Science from Albert-Ludwigs-University of Freiburg in Germany.

Artificial Intelligence | Fraud & Security Intelligence
Marcin Nadolny 0
Here and now: Boosting anti-money laundering efforts with Artificial Intelligence

Anti-money laundering has been an issue for banks and financial institutions for some time. Transaction monitoring systems have been around for many years. Meeting and complying with regulations at the regional or national level, however, remains a challenge. Many financial institutions are almost playing catch-up with regulators, as anti-money laundering