Using machine learning to predict fraud with Galvanize

Peter Walker

Editor, FStech

Kevin Legere

Principal Product Manager, Galvanize

As financial fraud methods evolve, so must the techniques used to detect and defend against them - so as fraudsters automate their hacking, financial services firms are looking to artificial intelligence technology to protect customer data.

Machine learning is one of the most effective ways of combatting such crime, but many businesses don't feel like they have the expertise to implement such solutions. This podcast - with Galvanize Principal Product Manager Kevin Legere - looks at some of the ways non-data scientists can process raw data to spot anomalies and predict fraudulent transactions.

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