Fueling innovative software
July 15-18, 2019
Portland, OR
Tommy Li

Tommy Li
Software Developer, IBM

Tommy Li is a software developer at IBM focusing on cloud, container, and infrastructure technology. He’s worked on various developer journeys that provide use cases on cloud-computing solutions, such as Kubernetes, microservices, and hybrid cloud deployments. He’s passionate about machine learning and big data.

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.