Partner Capsules Series

Anti-Money Laundering Use Case

In this video, we represent the steps that we followed to resolve an AML use case. The video also demonstrates Dataiku’s ability to visualize the prediction model’s results and performance graphs. The Anti-money laundering use case revolves around predicting whether a transaction is fraudulent or not.

Quick Data Cleansing was applied to the dataset, accentuating Dataiku’s capabilities to satisfy the user with easy to use, centralized cleansing features. We also show, the ability the Create, Train and Deploy Machine Learning algorithm in matter of few clicks. Additionally, we focus on the model’s scoring process which can be easily achieved in Dataiku DSS.

Anti-Money Laundering Use Case

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