Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
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

11:55–12:35 Thursday, 11 October 2018
Lessons learned building an open deep learning model exchange
AI Business Summit, Implementing AI
 Location: Park Suite
Secondary topics:  Deep Learning models, Platforms and infrastructure
Nick Pentreath (IBM)
The common perception of applying deep learning is that you take an open source or research model, train it on raw data, and deploy the result as a fully self-contained artifact. The reality is far more complex. Nick Pentreath shares lessons learned building a deep learning model exchange and discusses the future of standardized cross-framework deep learning model training and deployment. Read more.