Fueling innovative software
July 15-18, 2019
Portland, OR
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Julien Simon

Julien Simon
Technical Evangelist, AWS

Website | @julsimon

Julien Simon is a technical evangelist at AWS. Previously, Julien spent 10 years as a CTO and vice president of engineering at a number of top-tier web startups. He’s particularly interested in all things architecture, deployment, performance, scalability, and data. Julien frequently speaks at conferences and technical workshops, where he helps developers and enterprises bring their ideas to life thanks to the Amazon Web Services infrastructure.

Sessions

11:00am–11:40am Thursday, July 18, 2019
Building machine learning inference pipelines at scale
Incorporating Artificial Intelligence
 Location: C123-124
Secondary topics:  AI Enhanced
Julien Simon (AWS)
Average rating: *****
(5.00, 2 ratings)
Real-life ML workloads require more than training and predicting: data often needs to be preprocessed and postprocessed. Developers and data scientists have to train and deploy a sequence of algorithms that collaborate in delivering predictions from raw data. Julien Simon outlines how to build machine learning inference pipelines using open source libraries and how to scale them on AWS. Read more.