September 26-27, 2016
New York, NY
Suman Roy

Suman Roy
Lead Data Scientist, betaworks

Website | @_RoySD

Suman Deb Roy is a computer scientist and the author of Social Multimedia Signals: A Signal Processing Approach to Social Network Phenomena. Suman currently works as the lead data scientist in NY-based startup studio betaworks. Previously, he worked with Microsoft Research and was a fellow at the Missouri School of Journalism. Suman is the recipient of the IEEE Communications Society MMTC Best Journal Paper Award in 2015 and the Missouri Honor Medal for Outstanding PhD Research in 2013. He also serves as the editor of IEEE Special Technical Community on Social Networking. Suman is responsible for building the machine-learning algorithms driving product features in Digg, Instapaper, and Poncho.

Sessions

4:35pm–5:15pm Tuesday, 09/27/2016
Implementing AI
Location: River Pavilion B Level: Intermediate
Suman Roy (betaworks)
The recent explosion of bots on communication platforms has rekindled the hopes of conversational AI. However, building intelligent and customizable bots is not just bottlenecked by NLP and speech recognition. Our biggest limitation is the inability to modularize the goals of human bot interconnection. Suman Roy explains why we need a layered architecture for bots to learn about us from data. Read more.