04/02/2021
According to the IMF, approx 2.5-5% of the world's GDP is laundered money. Criminals are developing even more dubious means of cleaning their ill-gotten gains. The practice is so rampant in developing countries such that corruption and crimes have derailed most economies. Luckily, we can stop this practice by deploying graphs and machine learning technologies to combat money laundering.
In today's post, Peter Kariuki, a software engineer based in Kenya, analyses how banks and regulatory authorities can utilise machine learning technologies to combat money laundering. Tap the link below to read more.
Machine learning enables the deployment of automated pattern matchers that can flag transactions or individuals who are matched giving a confidence score as well…