Speaker: Matei Zaharia

Assistant Professor of Computer Science @Stanford and Chief Technologist @Databricks

Matei Zaharia is an assistant professor of computer science at Stanford and Chief Technologist of Databricks, the data and ML infrastructure company based around Apache Spark. He started the Spark project while he was a PhD student at UC Berkeley. He has also contributed to other open source big data systems including Apache Mesos and Apache Hadoop. At Stanford, Matei does research on systems for machine learning as part of the DAWN project.

Find Matei Zaharia at

2019 Tracks

  • 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

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.

  • Handling Sequential Data Like an Expert / ML Applied to Operations

    Discussing the complexities of time (half track) and Machine Learning in the data center (half track). Exploring topics from hyper loglog to predictive auto-scaling in each of two half-day tracks.

    Half-day tracks