Our Journey to ML with a Purpose

This talk was first presented at KNIME Fall Summit 2020. For further context, please download the slide deck.

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!
KNIME Fall Summit 2020 Talk
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.