Sep 23–26, 2019
Jing Huang

Jing Huang
Engineering director, machine learning, SurveyMonkey

Jing Huang is director of engineering, machine learning at SurveyMonkey, where she drives the vision and execution of democratizing machine learning. She is leading the effort to build the next-gen machine learning platform, oversees all machine learning operations. Previously she was an entrepreneur where she devoted her time to build mobile-first solutions and data products for non-tech industries. She also worked at Cisco Systems for six years, where her contribution range from security, cloud management to big data infrastructure.

Sessions

11:20am12:00pm Thursday, September 26, 2019
Location: 1A 23
Jing Huang (SurveyMonkey), Jessica Mong (SurveyMonkey)
You are a SaaS company that operates on a cloud infra prior to the ML era. How do you successfully extend your existing infrastructure to leverage the power of ML? In this case study, you will learn critical lessons from SurveyMonkey’s journey of expanding its ML capabilities with its rich data repo and hybrid cloud infrastructure. Read more.

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