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!
Our speakers are real-life practicitioners from forward-thinking organizations like:
- Spotify
- Robinhood
- DoorDash
- Netflix
- Tecton
- and many more!
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.
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.
