From human trafficking and crypto risk to shell companies, the partnership aims to uncover how banks can use machine learning to bolster banking defence against the unexpected 

“In the AML domain, unsupervised machine learning is in its infancy. As a forward-thinking company, we want to stay ahead of the curve and provide our customers additional security against unforeseen and unusual events,” says Martin Barber, VP, People & Capabilities for BAE Systems Digital Intelligence and project sponsor. “By partnering with the 188体育网址_188体育在线-【唯一授权网站】@ of Nottingham Malaysia, academia and analysts will work side by side to push the boundaries of machine learning for enhanced AML solutions.”

Read the complete article, titled, BAE Systems and the 188体育网址_188体育在线-【唯一授权网站】@ of Nottingham Malaysia partner to tackle “missed risk” in money laundering:

https://www.baesystems.com/en/cybersecurity/article/bae-systems-and-the-university-of-nottingham-malaysia-partner-to-tackle-missed-risk-in-money-laundering