📌 Last chance! Join us at apply() – the ML Data Engineering Conference
Join us this Wednesday and Thursday at apply() to hear the best ML practitioners and thought leaders discuss data engineering for operational ML!
Speakers include practitioners from the Wikimedia Foundation, Facebook, Gojek, Snapchat, Instacart, Walmart, Stripe, Snowflake, Databricks, Hugging Face, Tecton, and more. We’d love for you to join us!
🔦 A Few Highlights of the Agenda 🔦
Clem Delangue, CEO at Hugging Face: Is Open-Source Machine Learning Becoming the Most Impactful Technology of the Decade?
Chris Albon, Director of Machine Learning at Wikimedia Foundation: More Ethical Machine Learning Using Model Card at Wikimedia
Matei Zaharia, Co-Founder and Chief Technologist at Databricks: Lakehouse: A New Class of Platforms for Data and AI Workloads
Emmanuel Ameisen, ML Engineer at Stripe: Accelerating Model Deployment Velocity
Chip Huyen, Co-Founder at Claypot AI: Machine Learning Platform for Online Prediction and Continual Learning
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
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.
