📌 Event on April 21-22: apply() – the ML Data Engineering Conference
We’re excited to partner with Tecton on apply(), the first community conference for ML data engineering. This is a free, online event where users and thought leaders will share their experiences and best practices on ML data engineering.
Speakers include practitioners from Google, Microsoft, LinkedIn, Netflix, DoorDash, Spotify, Pinterest, Snorkel, Fiddler, Provectus, Algorithmia, Confluent, Stitch Fix, and more. We’d love you to join us!
🔦 A Few Highlights of the Agenda 🔦
Mike Del Balso/Tecton and Willem Pienaar/Feast are having a session on Rethinking Feature Stores.
Willem is also going to introduce a major upgrade to Feast (check it out!), the leading open-source feature store. The new Feast can be deployed simply through a pip install, while eliminating the need to deploy or manage dedicated infrastructure. Stepan Pushkarev/Provectus will cover how to bring Feast 0.10 to AWS.
Hien Luu and Arbaz Khan from DoorDash will share their journey at the session: Scaling Online ML Predictions to Meet DoorDash Logistics Engine and Marketplace Growth.
Jan Forjanczyk and Ravi Kiran Chirravuri from Netflix will share some insights about how data scientists’ productivity is supercharged at Netflix.
Aakash Sabharwal and Sheila Hu from Etsy unfold the way towards a unified real-time ML data pipeline.
Niall Murphy/Microsoft and Todd Underwood/Google will tell you about the Only Truly Hard problem in MLOps.
And other amazing speakers. Register here. It’s free.
