A free virtual event on data engineering for applied Machine Learning
apply() is an 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. Everything is on the table from managing labeling pipelines, to transforming features in real-time, and serving at scale.
apply() is a practitioner-focused community event to learn from your peers and show off your team’s hard-learned lessons. An amazing lineup of speakers with practical experience will be announced in the coming weeks.
Call for Speakers
Do you have a great story to share? 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.
We will have two formats of talks and welcome your submissions for either of these formats:
Full sessions: These are 25 minute sessions plus 5 minutes of Q&A
Lightning talks: These are 10 minute session
Agenda
The full conference agenda will be posted closer to the event. Please mark your calendars for:
Wednesday, April 21st, 9:30 AM – 1:00 PM Pacific Time
Thursday, April 22nd, 9:30 AM – 1:00 PM Pacific Time
Presented by
Proudly supported by our partners:
