We’re excited to partner with Tecton on apply(), the 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 the Wikimedia Foundation, CashApp, Facebook, Gojek, Snapchat, Instacart, Walmart, Stripe, Uber, Volvo, Snowflake, Databricks, Hugging Face, Tecton, and more. We’d love for you to join us!

REGISTER FOR FREE

🔦 A Few Highlights of the Agenda 🔦

• Matei Zaharia, Co-Founder and Chief Technologist at Databricks: The Future of Data for Machine Learning

• Chip Huyen, Co-Founder at Claypot AI:  Machine Learning Platform for Online Prediction and Continual Learning

• Smitha Shyam, Director of Engineering at Uber: Uber's Michelangelo: Then and Now

• Chris Albon, Director of Machine Learning at Wikimedia Foundation: More Ethical Machine Learning Using Model Card at Wikimedia

• Meenal Chhabra, Engineering Lead at Cash App: Ranking Service at Cash App

• Martin Casado, General Partner at Andreessen Horowitz, and Mike Del Balso, CEO and Co-Founder at Tecton: Fireside Chat - The Modern Data Stack for ML

• Sarah Cantazaro, General Partner at Amplify Partners: How to Draw an Owl and Build Effective ML Stacks

• Leonard Aukea, Head of Machine Learning Engineering & Operations at Volvo Cars: Effective ML System Development

• Clem Delangue, CEO at Hugging Face: Is Open-Source Machine Learning Becoming the Most Impactful Technology of the Decade?

• Emmanuel Ameisen, ML Engineer at Stripe: Accelerating Model Deployment Velocity

• Ravi Suhag, VP Engineering, Gojek: Feature Engineering at Scale with Dagger and Feast

A first for apply(),  the agenda will also include:

👩‍💻 Hands-on workshops – for a closer look at emerging MLOps tools including Feast, Arize, Ray, and Tecton, 

🍻 In-person meetups in NYC and SF - for networking and drinks!

Check out the full agenda and register here. It’s free.