Free Virtual Events on Data Engineering for Machine Learning Practitioners

Learn about the practical data engineering challenges faced when building ML for the real world. Topics discussed include:

  • Best practices development patterns
  • Tooling and infrastructure of choice
  • Feature Stores
  • Emerging architectures
  • Managing labeling pipelines
  • Transforming features in real-time
  • Serving features online at scale
  • And much more!

Session + Video Archive

Our speakers are real-life practicitioners from forward-thinking organizations like:

  • Google
  • Spotify
  • Robinhood
  • DoorDash
  • Netflix
  • Tecton
  • and many more!

Previous Speakers

Our next event is planned for early 2022

Please stay tuned for our call-for-speakers and speaker lineup. You can pre-register here to receive future communications.

Get Updates on Future Events

Submit a talk

Do you have a great story to share at a future event? We are looking for your most interesting talks on operationalizing data for ML. Whether you have best practices from a recent implementation, a unique solution to a common problem, or you’ve recently built your own tools, we want to hear from you! Submit your talk and we’ll be in touch.

Apply to Speak

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