Sep 23–26, 2019
Nick Pentreath

Nick Pentreath
Principal Engineer, IBM

Nick Pentreath is a principal engineer at the Center for Open Source Data & AI Technologies (CODAIT) at IBM, where he works on machine learning. Previously, he cofounded Graphflow, a machine learning startup focused on recommendations, and was at Goldman Sachs, Cognitive Match, and Mxit. He’s a committer and PMC member of the Apache Spark project and author of Machine Learning with Spark. Nick is passionate about combining commercial focus with machine learning and cutting-edge technology to build intelligent systems that learn from data to add business value.

Sessions

5:25pm6:05pm Wednesday, September 25, 2019
Location: 1A 06/07
The common perception of deep learning is that it results in a fully self-contained model. However, in most cases, these models have similar requirements for data preprocessing as does more "traditional" machine learning. Despite this, there are few standard solutions for deploying end-to-end deep learning. Nick Pentreath explores how the ONNX format and ecosystem addresses this challenge. Read more.

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