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Saturday, November 12 • 3:00pm - 3:20pm
One-Click Deploy Spark ML + TensorFlow AI Models

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In this completely 100% Open Source demo-based talk, Chris will be addressing an area of machine learning and artificial intelligence that is often overlooked:  the real-time, end-user-facing "serving” layer in a hybrid-cloud and on-premise deployment environment using Jupyter, NetflixOSS, Docker, and Kubernetes.
Serving models to end-users in real-time in a highly-scalable, fault-tolerant manner requires not only an understanding of machine learning fundamentals, but also an understanding of distributed systems and scalable microservices. 
Chris will combine his work experience from both Databricks and Netflix to present a 100% open source, real-world, hybrid-cloud, on-premise, and NetflixOSS-based production-ready environment to serve your notebook-based Spark ML and TensorFlow AI models with highly-scalable and highly-available robustness.

Speakers
avatar for Chris Fregly

Chris Fregly

Research Scientist, PipelineIO
Chris Fregly is Founder and Research Scientist at PipelineIO - a Streaming Machine Learning and Artificial Intelligence Startup in San Francisco. | | Chris is a regular speaker at many conferences and Meetups throughout the world. He’s also an Apache Spark Contributor, Netflix Open Source Committer, and Founder of the Global Advanced Spark and TensorFlow Meetup, and Author of the upcoming O'Reilly Video Series on Deploying and... Read More →


Saturday November 12, 2016 3:00pm - 3:20pm
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Attendees (18)