Epsilon Software for Private Machine Learning with Chang Liu

EPISODE 135
LISTEN
Banner Image: Chang Liu - Podcast Interview
Join our list for notifications and early access to events

About this Episode

In this episode, our final episode in the Differential Privacy series, I speak with Chang Liu, applied research scientist at Georgian Partners, a venture capital firm that invests in growth stage business software companies in the US and Canada.

Chang joined me to discuss Georgian's new offering, Epsilon, a software product that embodies the research, development and lessons learned helps in helping their portfolio companies deliver differentially private machine learning solutions to their customers. In our conversation, Chang discusses some of the projects that led to the creation of Epsilon, including differentially private machine learning projects at BlueCore, Work Fusion and Integrate.ai. We explore some of the unique challenges of productizing differentially private ML, including business, people and technology issues. Finally, Chang provides some great pointers for those who'd like to further explore this field.

Connect with Chang
Read More

More from TWIML

Leave a Reply

Your email address will not be published. Required fields are marked *