October 28–31, 2019
Yong Tang

Yong Tang
Director, Engineering, MobileIron


Yong Tang is the director of engineering at MobileIron. He contributes to different container and machine learning projects for the open source community. His most recent focus is on data processing in machine learning. He’s a committer and the SIG I/O lead of the TensorFlow project, and received the Open Source Peer Bonus Award from Google for his contributions to TensorFlow. In addition to TensorFlow, Yong also contributes to many other projects for the open source community and is a committer of Docker and CoreDNS projects.


2:30pm3:10pm Wednesday, October 30, 2019
Location: Grand Ballroom C/D
Yong Tang (MobileIron)
In many applications where data is generated continuously, combining machine learning with streaming data is imperative to discover useful information in real time. Yong Tang explores TensorFlow I/O, which can be used to easily build a data pipeline with TensorFlow and stream frameworks such as Apache Kafka, AWS Kinesis, or Google Cloud PubSub. Read more.
  • O'Reilly
  • TensorFlow
  • Google Cloud
  • IBM
  • Databricks
  • Tensor Networks
  • VMware
  • Amazon Web Services
  • One Convergence
  • Quantiphi
  • Lambda Labs
  • Tech Mahindra
  • cnvrg.io
  • Determined AI
  • Inferencery
  • Manceps, Inc.
  • PerceptiLabs
  • Valohai

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