MLOps in Financial Services: Powering Fraud Prevention

About this webinar

Join the Seldon team for a practical session on how to tackle the key challenges faced by FS organisations when trying to deploy ML models at scale. In this webinar, we’ll tackle a fraud prevention use case based on the experiences of one of our blue chip customers.

How can FS organisations get value from machine learning models? In this session, the Seldon technical team are here to cut through the noise and outline what you need to know. They’ll dive into key opportunities and challenges of MLOps in the space through the use case of fraud prevention.

It’s clear there’s game-changing potential in the technology as companies are investing at massive rates but what should organisations be wary of? Not just ROI, but widespread trust in the technology across the business is just as important.


Kelly Spry

Head of Solutions Engineering

What you'll learn

  • Scale model deployments efficiently and rapidly
  • Proactively mitigate risk
  • Trust your ML workflows
  • Keep your ML models compliant

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