All Software Architecture, All the Time
June 10-13, 2019
San Jose, CA
LN Renganarayana

LN Renganarayana
Senior Director, ML, Workday

Website

LN is a technology leader who has helped bring to life several data and ML products over the past 15 years. As the Head of Data Science and ML Architecture at Workday, he is helping Workday build cutting edge Enterprise AI products on a secure ML Platform. He believes in ethical AI development and regularly partners with Privacy, Legal and Security experts to codify complex compliance rules into concrete software services. In the past, he was a researcher at IBM T.J. Watson research center, where he built cloud anomaly detectors and ML driven compiler optimizations and was a Director at Symantec, where he helped build a real-time streaming analytics service.

LN holds a Ph. D. in computer science with 40+ publications/patents and his work has had strong innovation and business impacts with awards from ACM, IBM, and HP. Outside of his passion for technology, LN loves chocolates, will drive miles for a good coffee, and an avid practitioner of meditation.

Sessions

4:50pm–5:35pm Thursday, June 13, 2019
An architecture for building secure and privacy preserving ML products
Artificial Intelligence, Data, Security
 Location: 212
Secondary topics:  Overview
LN Renganarayana (Workday)
LN Renganarayana is on a mission to provide strong privacy and security for ML products built with customer data. A key enabler of Workday's mission is an architecture guided by the principles of privacy by design and data protection by default. Interested? Come learn about the design and the trade-offs. Read more.