Shanghai, China
June 24–26, 2019
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Tuesday, June 25 • 13:35 - 14:10
Open Standards for Machine Learning Deployment - Animesh Singh & Hou Gang, IBM

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Machine learning is typically viewed as simply training a model on data. However, the “last mile” of deploying models to production systems is often overlooked and yet is one of the most critical aspects of real-world machine learning systems. Despite this, currently there are few widely accepted, open and standard solutions available that cover deployment of end-to-end ML pipelines.

In this talk, I explore the current state of ML deployment using open-source, standardized formats. The talk will cover the various available options, including PMML, PFA and ONNX, and how these fit in with the most popular and widely used ML libraries (including scikit-learn, Spark ML, TensorFlow, Keras and PyTorch).

avatar for Animesh Singh

Animesh Singh

Chief Architect and Program Director, IBM
Animesh Singh is a Program Director and Chief Architect for the IBM Watson and Cloud Open Source Platform, where he leads machine learning and deep learning initiatives on IBM Cloud and works with communities and customers to design and implement deep learning, machine learning, and... Read More →

Hou Gang, Liu

Advisory Software Developer, IBM
Worked on Openstack nova, kubernetes and AI by spark. Now focus on AI on Cloud.

Tuesday June 25, 2019 13:35 - 14:10 CST