scale.bythebay.io: Ari Kamlani, Scaling From Research to Production with Skymind DL4J and ScalNet

ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, California, on the shores of Lake Merritt: https://scale.bythebay.io. Join us! ----- DeepLearning4J (Deep Learning for Java - DL4J, inception 2013) was specifically designed with Enterprise and Production in mind, as a first-class citizen to the JVM. Skymind develops and maintains the complete DL4J stack and the abstraction for Scala (ScalNet) with a focal point on scalability and vendor integrations. This session will focus on the challenges in migrating a research prototype to a more production ready system within the JVM. Specifically, migrating/importing an alternative Deep Learning Framework based on python bindings (e.g. Keras via Tensorflow) to DL4J/ScalNet within a distributed environment using Apache Spark. A walkthrough of a temporal IoT use case modeling an LSTM Network demonstrating the different phases of a project will be shown. Furthermore, the different workflow capabilities in crossing the language boundaries. Ari Kamlani Skymind Deep Learning Consultant San Francisco Bay Area Twitter Tweet Websitetwitter.com/akamlani Data Scientist and Technology Strategist & Advisor, currently employed as a Deep Learning Consultant with Skymind and Technologist in Residence (TIR) with Techstars IoT. Previously a Data Scientist & Engineering Consultant at Otto (Tyto) for the Connected Home and Research Assistant at Inria Research Institute per Spatio-Temporal patterns in Computer Vision. Furthermore, he has a long career in the Embedded and…

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