KUALA LUMPUR, Malaysia, March 15 (Bernama-PRNewswire) — BAE Systems Digital Intelligence and the University of Nottingham Malaysia have agreed a partnership to examine how unsupervised machine learning can be used in the discovery of previously undefined risk, known as “missed risk” in the context of financial crime.
“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,” said Martin Barber, VP, People & Capabilities for BAE Systems Digital Intelligence and project sponsor. “By partnering with the University of Nottingham Malaysia, academia and analysts will work side by side to push the boundaries of machine learning for enhanced AML solutions.”
http://mrem.bernama.com/viewsm.php?idm=42662
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