Applying Deep Learning and DL4J in the Enterprise for Production Class Applications
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  Josh Patterson   Josh Patterson
Director of Field Engineering


Monday, January 30, 2017
02:45 PM - 04:15 PM

Level:  Technical - Introductory

In this talk we'll look at what it takes to build out enterprise class Deep Learning applications in today's Fortune 500 data warehouses. We'll look at how DL4J can securely model IoT sensor data on Spark and Hadoop. We'll also look at other considerations for running Deep Learning in production in the enterprise from an IT perspective.

Josh Patterson is the Director of Field Engineering at Skymind, a company that provides deep learning tools for use with Hadoop and Spark. Josh is a co-creator of the Deeplearning4j framework as well as the co-author of Oreilly’s “Deep Learning: A Practitioner’s Approach” due out in late 2016. Before Skymind, Josh held senior architecture roles at Cloudera (2010-2013). With extensive experience in Deep Learning systems architecture for customers across diverse industries ranging from healthcare to telecom, Josh has experience in real world data science deployments across the Fortune 500 for systems such as fraud detection, text analytics, image recognition, and IoT pattern analysis.

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