Presented By O’Reilly and Intel Nervana
Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA

Why democratizing AI matters: Computing, data, algorithms, and talent

Jia Li (Google)
9:10am–9:25am Wednesday, September 20, 2017
Location: Grand Ballroom B
Average rating: ***..
(3.14, 7 ratings)

Jia Li has contributed to some of the most influential datasets in the world and helped transform computer vision from an academic niche into a dominant technology. Jia explains why a democratized approach to AI ensures that the compute, data, algorithms, and talent behind these technologies reach the widest possible audience.

Photo of Jia Li

Jia Li

Google

Jia Li is the head of R&D, cloud AI, and machine learning at Google. Previously, Jia was the head of research at Snap, where she led the company’s research innovation effort, and led the visual computing and learning group at Yahoo Labs. She currently serves as the program chair of the ACM Multimedia Conference, the associate editor of The Visual Computer: International Journal of Computer Graphics, and a member of the Computer Vision Foundation Industrial Advisory Board. She previously served as the industry relationship chair for CVPR 2016, the volunteers chair for CVPR 2010, and the area chair for WACV 2015. In 2014, she received the Super Star award from Yahoo, the highest award at the company. She was also awarded the Master Inventor award for her innovations in computer vision, machine learning, artificial intelligence, mobile vision, ecommerce, product recommendation, and image search. Jia led the OPTIMOL team, which won the first prize in the 2007 Semantic Robotics Vision Challenge sponsored by NSF and AAAI. Her work has been widely reported in the media, including The Next Web, Ars Technica, ZDNet, Gigaom, Venture Beat, Mirror, Business Insider, New Scientist, and MIT Technology Review. In 2016, Business Insider named her one of the secret power players who run Snapchat. Jia holds a PhD in computer science from Stanford University.