Our Journey to ML with a Purpose

TODO1 built an anti-fraud profiler to deal with transactional fraud mitigation in the digital interactions between financial institutions and their customers.

  • Requirements: One platform to accomplish everything; REST API; self-documenting; a good price

  • Challenges: Fraud data is hard to get, real-time responses are hard to achieve (<100ms), and downtime was not an option

  • Set-up: Running load balancer / 4 x KNIME Server Large / Rabbit ML / 2 x KNIME Executors

  • Results: With the system in production in the cloud and fully operational for the past 3 months it has been managing 650+million transactions with no downtime. Overall improvement of +100% fraud detection rates. Round trip median time of approx. 100 ms. That’s impressive!

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Our Journey to ML with a Purpose

Edgar Osuna from TODO1 Services explains how they built an anti-fraud profiler to deal with transactional fraud mitigation in the digital interactions between financial institutions and their customers.

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