Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Chris Harland

Chris Harland
Director of Data Engineering, Textio

Website | @cdubhland

Chris Harland is director of data engineering at augmented writing platform Textio. Over his career, Chris has worked in a wide variety of fields spanning elementary science education, cutting-edge biophysical research, and recommendation and personalization engines. Previously, he was a data scientist and machine learning engineer at Versive (formerly Context Relevant) and a data scientist at Microsoft working on problems in Bing search, Xbox, Windows, and MSN. Chris holds a PhD in physics from the University of Oregon. Every year he thinks, “This is the year I’m going to stop thinking SQL is the best query language ever,” and every year he’s wrong.


1:50pm2:30pm Thursday, March 8, 2018
Chris Harland (Textio)
The number of resources explaining how to build a machine learning model from data greatly overshadows information on how to make real data products from such models, creating a gap between what machine learning engineers and data scientists know is possible and what users experience. Using examples from Textio's augmented writing platform, Chris Harland walks you through building a data product. Read more.