Chip Huyen
Co-Founder & CEO
Claypot AI
The ML data engineering conference presented by 
May 18-19, 2022 | 8:30 am – 2:30 pm PT
Once again, apply() did not disappoint! Our fantastic speakers delivered enlightening talks, inspiring panel discussions, and instructive workshops to an audience of 8000+ ML practitioners. All the content will be available online soon!
A free virtual event on data engineering for applied Machine Learning
apply(conf) is a two-day event for data and ML teams to discuss the practical data engineering challenges faced when building ML for the real world. Participants will share best practice development patterns, tools of choice, and emerging architectures they use to successfully build and manage production ML applications.
Topics include:
• Best practices development patterns
• Tooling and infrastructure of choice
• Managing labeling pipelines
• Transforming and serving features in real-time
• Serving at scale
Schedule Overview
Here’s a high level summary of events. A first for apply(), we’ll be hosting hands-on workshops on emerging MLOps tools and in-person social meetups in San Francisco and New York City.
May 18, 2022
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8:30 AM to 2:30 PM PT Virtual SessionsCurated talks and panel discussions from thought leaders and practitioners |
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3:00 PM to 4:00 PM PT Workshops and DemosDiscover the latest tools in the MLOps |
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5:30 PM to 9:00 PM Local In-person social meetups.Join us for a fun evening of networking with your peers. Drinks
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May 19, 2022
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8:30 AM to 2:30 PM PT Virtual SessionsCurated talks and panel discussions from thought leaders and practitioners |
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3:00 PM to 4:00 PM PT Workshops and DemosDiscover the latest tools in the MLOps ecosystem with hands-on workshops and demos. |
Network Anytime |
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Tecton/Feast Community SlackJoin the private channel on our Slack. Connect with our speakers and your peers. |
Featured Speakers
Meenal Chhabra
Machine Learning Engineering Manager
CashApp
Chris Albon
Director of Machine Learning
Wikimedia Foundation
Matei Zaharia
Co-Founder and Chief Technologist
Databricks
apply() is presented by
apply() is supported by
