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Wednesday, May 22 • 14:00 - 14:35
Building Cross-Cloud ML Pipelines with Kubeflow with Spark & Tensorflow - Holden Karau, Google & Trevor Grant, IBM

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Data Science, Machine Learning, and Artificial Intelligence has exploded in popularity in the last five years, but the nagging question remains, “How to put models into production?” In this talk, we present KubeFlow- an open source project aims to answer this.

This talk will examine how the intricacies involved in taking your pipeline and running it between clouds, mixing data from multiple sources, and building multi-component pipelines. We’ll examine how to tie together multiple tools to prepare your data and train the final model, as well as how to create a serving system to match.

The audience will learn how to use kubernetes as a replacement for YARN simplifying your big data stack and empowering your data scientists to self-serve libraries and avoid being responsible for maintaining 20 different incompatible conda environments.

Speakers
avatar for Trevor Grant

Trevor Grant

Open Source AI / IoT Evangelist, IBM
Trevor is an open source evangelist at IBM in Watson IoT. He is also a PMC on the Apache Mahout, Apache Streams, and Apache Community Development projects. He has spoken at conferences and Meetups internationally.
avatar for Holden Karau

Holden Karau

Developer Advocate, Google
Holden Karau is a transgender Canadian open source developer advocate at Google focusing on Apache Spark, Beam, and related big data tools. Previously, she worked at IBM, Alpine, Databricks, Google (yes, this is her second time), Foursquare, and Amazon. Holden is the coauthor of Learning... Read More →


Wednesday May 22, 2019 14:00 - 14:35
Hall 8.0 C4