Modernize Your AI Pipelines With KubeFlow and TFX

 

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.

Chris Fregly is a Developer Advocate for AI and Machine Learning at Amazon Web Services (AWS) based in San Francisco, California. He is co-author of the O'Reilly Book, "Data Science on AWS."

 

Chris is also the Founder of many global meetups focused on Apache Spark, TensorFlow, and KubeFlow. He regularly speaks at AI and Machine Learning conferences across the world including O’Reilly AI & Strata, Open Data Science Conference (ODSC), and GPU Technology Conference (GTC).

 

Previously, Chris was Founder at PipelineAI where he worked with many AI-first startups and enterprises to continuously deploy ML/AI Pipelines using Apache Spark ML, Kubernetes, TensorFlow, Kubeflow, Amazon EKS, and Amazon SageMaker.