Advances in information technology have the potential to make anti-money laundering more efficient and successful. It is a serious crime that can have a significant impact on the global economy, as it allows criminals to profit from their illicit activities and evade detection by law enforcement agencies. Technologies can help identify suspicious activity and detect patterns that may indicate money laundering. This can help financial institutions and other regulated businesses combat money laundering. The purpose of this study is to identify the areas of technology that help in combating money laundering. The study demonstrates how block chain, machine learning, and big data can help in monitoring, processing, and analyzing suspicious transactions and other illegal activity. This study also will be help policy maker to defined the money launder activities through block chain, machine learning and big data.
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