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Monday, June 29 • 3:20pm - 4:10pm
Compare, Contrast, Contribute: Model Deployment Standards and How You Can Help - Svetlana Levitan & Nick Pentreath, 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.

We explore open standards PMML, PFA, and ONNX. We will explain their different approaches to data preparation and model representation, compare and contrast their features, and point out opportunities for open source contributions.

avatar for Nick Pentreath

Nick Pentreath

Principal Engineer, IBM
Nick Pentreath is a principal engineer in IBM's Center for Open-source Data & AI Technology (CODAIT), where he works on machine learning. Previously, he cofounded Graphflow, a machine learning startup focused on recommendations. He has also worked at Goldman Sachs, Cognitive Match... Read More →

Svetlana Levitan

Developer Advocate, IBM
Svetlana is an IBM Developer Advocate with Center for Open Source Data and Artificial Intelligence Technologies. She has been a software engineer and technical lead for SPSS statistical and machine learning components for many years. Svetlana holds leading technical roles for PMML... Read More →

Monday June 29, 2020 3:20pm - 4:10pm CDT
AI/ML/DL Theater