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Speaker "Chris Fregly" Details Back

 

Topic

Modernize Your AI Pipelines With KubeFlow and TFX
 

Abstract

In this talk, I will discuss the key ingredients of a high-velocity, rapidly-iterating, real-time machine learning pipeline.  Until now, this type of pipeline was only accessible to AI-first giants such as Facebook, Amazon, Netflix, and Google (FANG).  
 
While ML/AI frameworks such as PyTorch (Facebook) and TensorFlow (Google) have been open source for a few years, FANG is beginning to open-source key components of their sophisticated, battle-tested internal AI pipelines.  This is a huge with for the entire AI community.
 
This talk will highlight the latest open source projects from the top AI companies in the world - and demonstrate how to modernize your own AI pipelines to stay ahead of your competition.

Profile

Chris Fregly is Founder and Research Engineer at PipelineAI (http://pipeline.ai), a real-time Machine Learning and Artificial Intelligence Startup based in San Francisco.  

He is also an Apache Spark Contributor, a Netflix Open Source Committer, founder of the Global Advanced Spark and TensorFlow Meetup, author of the O’Reilly Training and Video Series titled, "High Performance TensorFlow in Production."

Previously, Chris was a Distributed Systems Engineer at Netflix, a Data Solutions Engineer at Databricks, and a Founding Member and Principal Engineer at the IBM Spark Technology Center in San Francisco.