David Hershey

Solutions Architect
Tecton

David Hershey is a Solutions Architect at Tecton, where he helps customers implement feature stores as part of their stack for Operational ML. Prior to Tecton, David was a Solutions Engineer at Determined AI and a Product Manager for Ford’s ML platform. David holds an MS in Computer Science from Stanford University and BS in Aerospace Engineering from the University of Michigan.

Deploying a Fraud Detection Model with a Feature Store
Thursday, January 21 | 
09:00 AM - 
12:00 PM

For models that need to operate in real-time, the biggest roadblock stopping models from working in production are the complex data pipelines needed to deliver data in real-time. Fraud detection is frequently one of the most demanding real-time models, requiring real-time decisions made on real-time data inputs.

Feature stores are built to help solve the challenge of delivering data to production models. With a tool like Tecton, as soon as you’re done training your model, your data is available to be served in real time.

In this workshop, we will demonstrate how you can use a feature store to build new features for fraud detection, build a training dataset, use that dataset to train a model, then deploy that model with AWS SageMaker.

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