Fueling innovative software
July 15-18, 2019
Portland, OR
SVETLANA Levitan

SVETLANA Levitan
Developer Advocate, IBM

Svetlana Levitan is a developer advocate with the IBM Center for Open Source Data and Artificial Technologies (CODAIT). Previously, she was a software engineer implementing SPSS statistical and machine learning algorithms. She earned her PhD in applied math and MS in CS from University of Maryland. She loves learning more on AI and sharing her knowledge.

Sessions

1:30pm–5:00pm Tuesday, July 16, 2019
Building a secure and transparent ML pipeline using open source technologies
Incorporating Artificial Intelligence
 Location: C123-124
Secondary topics:  AI Enhanced
Animesh Singh (IBM), SVETLANA Levitan (IBM), Tommy Li (IBM)
Average rating: *....
(1.80, 5 ratings)
Given the growing demand for fairness, accountability, and transparency from machine learning (ML) systems, Animesh Singh, Svetlana Levitan, and Tommy Li demonstrate how to build an ML pipeline that's open, secure, and fair and that fully integrates into the AI lifecycle, using open source tools like AI Fairness 360 (AIF360) and Adversarial Robustness Toolbox (ART), among others. Read more.