Sep 23–26, 2019
Jing Huang

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.


11:20am12:00pm Thursday, September 26, 2019
Location: 1A 15/16
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.
  • Cloudera
  • O'Reilly
  • Google Cloud
  • IBM
  • Cisco
  • Dataiku
  • Intel
  • Io-Tahoe
  • MemSQL
  • Microsoft Azure
  • Oracle Cloud Infrastructure
  • SAS
  • Arcadia Data
  • BMC Software
  • Hazelcast
  • SAP
  • Amazon Web Services
  • Anaconda
  • Esri
  •, Inc.
  • Kyligence
  • Pitney Bowes
  • Talend
  • Google Cloud
  • Confluent
  • DataStax
  • Dremio
  • Immuta
  • Impetus Technologies Inc.
  • Keyence
  • Kyvos Insights
  • StreamSets
  • Striim
  • Syncsort
  • SK holdings C&C

    Contact us

    For conference registration information and customer service

    For more information on community discounts and trade opportunities with O’Reilly conferences

    For information on exhibiting or sponsoring a conference

    For media/analyst press inquires