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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 (Amazon Web Services)
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

Amazon Web Services

Chris Fregly is a senior developer advocate focused on AI and machine learning at Amazon Web Services (AWS). Chris shares knowledge with fellow developers and data scientists through his Advanced Kubeflow AI Meetup and regularly speaks at AI and ML conferences across the globe. Previously, Chris was a founder at PipelineAI, where he worked with many startups and enterprises to deploy machine learning pipelines using many open source and AWS products including Kubeflow, Amazon EKS, and Amazon SageMaker.

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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!