Booz Allen Hamilton: Machine Learning And Data Science - The Next Big Shift In AML

Booz Allen’s Financial Crime Solutions team has produced this paper to explain why incorporating machine learning and data science into anti-money laundering (AML) transaction monitoring will improve program effectiveness.

A brief history of big shifts

The AML industry has witnessed several significant turning points over the past 40 years that have led us to where we are today.

Reliance on transaction monitoring

The most recent shift in AML has been the prioritization and emphasis on

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact [email protected] or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to copy this content. Please contact [email protected] to find out more.

To continue reading...

You need to sign in to use this feature. If you don’t have a RiskTech Forum account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: