Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Chris Fregly

Chris Fregly
Research Engineer, PipelineAI

Website | @cfregly

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.


17:2518:05 Wednesday, 24 May 2017
Secondary topics:  Deep learning
Level: Intermediate
Chris Fregly (PipelineAI)
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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—and shares a production-ready environment to serve your notebook-based Spark ML and TensorFlow AI models with highly scalable and highly available robustness. Read more.