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Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Deploy Spark ML TensorFlow AI models from notebooks to hybrid clouds (including GPUs)

Chris Fregly (PipelineAI)
17:2518:05 Wednesday, 24 May 2017
Secondary topics:  Deep learning
Level: Intermediate
Average rating: ***..
(3.00, 1 rating)

Who is this presentation for?

  • Data engineers, data analysts, and data scientists

Prerequisite knowledge

  • A basic understanding of machine learning and artificial intelligence

What you'll learn

  • Learn about a 100% open source, real-world, hybrid-cloud, on-premises, and NetflixOSS-based production-ready environment to serve notebook-based Spark ML and TensorFlow AI models

Description

Chris Fregly explores an often-overlooked area of machine learning and artificial intelligence—the real-time, end-user-facing "serving” layer in hybrid-cloud and on-premises deployment environments. Serving models to end users in real time in a highly scalable, fault-tolerant manner requires an understanding of not only machine learning fundamentals but also distributed systems and scalable microservices. Drawing on his time at both Databricks and Netflix, Chris shares a 100% open source, real-world, hybrid-cloud, on-premises, and NetflixOSS-based production-ready environment to serve your notebook-based Spark ML and TensorFlow AI models with highly scalable and highly available robustness.

Photo of Chris Fregly

Chris Fregly

PipelineAI

Chris Fregly is founder and research engineer at PipelineAI, a San Francisco-based streaming machine learning and artificial intelligence startup. Previously, Chris was a distributed systems engineer at Netflix, a data solutions engineer at Databricks, and a founding member of the IBM Spark Technology Center in San Francisco. Chris is a regular speaker at conferences and meetups throughout the world. He’s also an Apache Spark contributor, a Netflix Open Source committer, founder of the Global Advanced Spark and TensorFlow meetup, author of the upcoming book Advanced Spark, and creator of the O’Reilly video series Deploying and Scaling Distributed TensorFlow in Production.

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Comments

Andrei Bâcu | DATA ARCHITECT
18/07/2017 13:57 BST

Hi Chris,

Awesome session! Can you please post the slides and resources used?

Cheers,
Andrei

Ramon Wartala | SENIOR BIG DATA ARCHITECT
25/05/2017 10:17 BST

great, chaotic, inpireing!