South Korea’s Shinhan Bank has introduced a big data-powered anti-money laundering (AML) system in its efforts to detect suspicious trade transactions and become more competitive in the international trade finance market.

Shinhan-Trade Based Money Laundering (S-TBML) uses artificial intelligence (AI), optical character recognition (OCR) and big data applications amongst other capabilities to help the bank automatically detect signs of money laundering and suspicious transactions.

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