Abstract: Data science projects can fail before ever being realized. Integrating data science into your application development workflow and tooling from the beginning can greatly improve chances of success. In this demo, we show how a data scientist uses Red Hat OpenShift Data Science, along with partners and open source software, to develop a model and integrate it as part of a heterogeneous application.
Bio: Sophie Watson is a data scientist at Red Hat, where she helps customers to solve business problems using machine learning in the hybrid cloud. She has previously conducted research in the areas of researched Bayesian Statistics and Recommendation Engines, and is focused on using her data science and statistics skills to inform next-generation infrastructure for intelligent application development.
Sophie Watson, PhD
Principal Data Scientist | Red Hat