Predict 2019 has ended
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Ben Dodson

Snap, Inc
Data Scientist
Talk: Low-Latency Model Prediction with Video

Description: I would like to discuss the process through which we setup our prediction and training pipeline, a variety of technologies we evaluated for serving our models (including TF serving, Kubeflow, and Clipper) that resulted in scalable low-latency predictions, and how to overcome an array of challenges you might encounter when setting up your own data pipelines, specifically when it comes to processing data related to images and video.

Biography: I am a data scientist at Snap, Inc where I'm helping improve Snapchat's media delivery. I previously worked on computer vision and deep learning projects for video applications with Mux, and I've worked on multiple analytics and operations projects at Google and Deloitte. I graduated from Emory University in 2012 where I studied finance.

My Speakers Sessions

Tuesday, October 1

11:30am IST