Speaker: Chi Zeng

Software Engineer @Google

Chi works on the TensorBoard suite of visualizations within Google Brain. He also works on the People+AI Research Initiative, which strives to make partnerships between people and artificial intelligence productive, enjoyable, and fair.

Find Chi Zeng at

2019 Tracks

  • Predictive Data Pipelines & Architectures

    Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix

  • Sequential Data: Natural Language, Time Series, and Sound

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud