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

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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 platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. More than 600 companies worldwide use Dataiku, driving diverse use cases from predictive maintenance and supply chain optimization, to quality control in precision engineering, to marketing optimization, Generative AI use cases, and everything in between.