Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
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

11:15–11:55 Wednesday, 1 May 2019
Building a secure and transparent ML pipeline using open source technologies
Data Science, Machine Learning & AI
 Location: Capital Suite 15/16
Secondary topics:  Ethics, Security and Privacy
Nick Pentreath (IBM)
Average rating: ****.
(4.75, 4 ratings)
The application of AI algorithms in domains such as criminal justice, credit scoring, and hiring holds unlimited promise. At the same time, it raises legitimate concerns about algorithmic fairness. There's a growing demand for fairness, accountability, and transparency from machine learning (ML) systems. Nick Pentreath explains how to build just such a pipeline leveraging open source tools. Read more.