Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Kelley Rivoire

Kelley Rivoire
Head of Data Infrastructure, Stripe

Kelley Rivoire is the head of data infrastructure at Stripe, where she leads the Data Infrastructure Group. As an engineer, she built Stripe’s first real-time machine learning evaluation of user risk. Previously, she worked on nanophotonics and 3D imaging as a researcher at HP Labs. She holds a PhD from Stanford.

Sessions

4:20pm–5:00pm Wednesday, March 27, 2019
Scaling model training: From flexible training APIs to resource management with Kubernetes
Data Science, Machine Learning & AI
 Location: 2011
Secondary topics:  Automation in data science and big data, Financial Services, Model lifecycle management
Kelley Rivoire (Stripe)
Average rating: ****.
(4.33, 3 ratings)
Production ML applications benefit from reproducible, automated retraining, and deployment of ever-more predictive models trained on ever-increasing amounts of data. Kelley Rivoire explains how Stripe built a flexible API for training machine learning models that's used to train thousands of models per week on Kubernetes, supporting automated deployment of new models with improved performance. Read more.