Sep 23–26, 2019
Nick Pentreath

Nick Pentreath
Principal Engineer, IBM

Nick Pentreath is a principal engineer in IBM’s Center for Open Source Data & AI Technologies (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, and Mxit. He is 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
Secondary topics:  Deep Learning, Model Development, Governance, Operations
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 pre-processing as more "traditional" machine learning. Despite this, there are few standard solutions for deploying end-to-end deep learning. In this talk, I show how the ONNX format and ecosystem is addressing this challenge. Read more.

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