ML-based Fraud Detection and Prevention in Healthcare. Use Case Deep Dive + Q&A

Presented by

Emma Irwin, Solutions Architect, Dataiku

About this talk

Accurate fraud detection in healthcare has the potential to make medicine better, more affordable, and more accessible. Join us for a new episode of Caffeinated Data | Healthcare Edition (Episode 1/3). Participate in a data science project showcase followed by Q&A with one of our data scientists. In our first episode, we'll present how to build ML-based fraud detection and prevention models or how to optimize your existing ones.

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Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.