Sep 23–26, 2019

Jing Huang
Engineering Director, Machine Learning, SurveyMonkey

Jing Huang is a director of engineering, machine learning, at SurveyMonkey, where she drives the vision and execution of democratizing machine learning. She leads the effort to build the next-generation machine learning platform and oversees all machine learning operation projects. Previously, she was an entrepreneur and devoted her time to building mobile-first solutions and data products for nontech industries and worked at Cisco, where her contribution ranged from security and cloud management to big data infrastructure.

Sessions

11:20am–12:00pm Thursday, September 26, 2019

Location: 1A 15/16

Your cloud, your ML, but more and more scale? How SurveyMonkey did it

Data Engineering and Architecture

Secondary topics: Cloud Platforms and SaaS, Data, Analytics, and AI Architecture, Media and Advertising

Jing Huang (SurveyMonkey), Jesscia Mong (SurveyMonkey)

You're a SaaS company operating on a cloud infrastructure prior to the machine learning (ML) era and you need to successfully extend your existing infrastructure to leverage the power of ML. Jing Huang and Jessica Mong detail a case study with critical lessons from SurveyMonkey’s journey of expanding its ML capabilities with its rich data repo and hybrid cloud infrastructure. Read more.