In this episode of the Data Show, I speak with Peter Bailis, founder and CEO of Sisu, a startup that is using machine learning to improve operational analytics. Bailis is also an assistant professor of computer science at Stanford University, where he conducts research into data-intensive systems and where he is co-founder of the DAWN Lab.

We had a great conversation spanning many topics, including:

  • His personal blog, which contains some of the best explainers on emerging topics in data management and distributed systems.
  • The role of machine learning in operational analytics and business intelligence.
  • Machine learning benchmarks—specifically two recent ML initiatives that he’s been involved with: DAWNBench and MLPerf.
  • Trends in data management and in tools for machine learning development, governance, and operations.

Related resources: