Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Emily Gorcenski

Emily Gorcenski
Lead Data Scientist, ThoughtWorks

Emily Gorcenski is lead data scientist at ThoughtWorks. Emily has over 10 years of experience in scientific computing and engineering research and development. Her background is in mathematical analysis, with a focus on probability theory and numerical analysis. She’s currently working in Python development, though she also has experience with C#/.Net, Unity3D, SQL, and MATLAB as well as statistics and experimental design. Previously, she was principal investigator in a number of clinical research projects.

Sessions

16:35–17:15 Wednesday, 1 May 2019
Continuous intelligence: Keeping your AI application in production
Data Engineering and Architecture
 Location: S11 B
Secondary topics:  Model lifecycle management
Arif Wider (ThoughtWorks), Emily Gorcenski (ThoughtWorks)
Average rating: ***..
(3.90, 10 ratings)
Machine learning can be challenging to deploy and maintain. Any delays in moving models from research to production mean leaving your data scientists' best work on the table. Arif Wider and Emily Gorcenski explore continuous delivery (CD) for AI/ML along with case studies for applying CD principles to data science workflows. Read more.