Upcoming events
February 10, 2022 | 8:30 am – 1:30 pm PT
The agenda is live for apply() community meetup. We have a packed agenda with a great speaker lineup. Join us for engaging conversations as we explore the latest trends in the world of data for Operational ML.
May 18-19, 2022
Our main event is coming up soon! Get ready for a fun and engaging two days of curated sessions, networking opportunities, and workshops. See a preview of some of our speakers, and mark your calendars to join us May 18-19.
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.
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.
What you can expect
Talks
Curated talks and panel discussions on practical data engineering challenges for operational ML. Topics include:
- Best practices development patterns
- Tooling and infrastructure of choice
- Managing labeling pipelines
- Transforming and serving features in real-time
Speakers
Speakers with hands-on experience from forward-thinking organizations like Google, Spotify, Uber, Robinhood, DoorDash, Netflix, Tecton, and many more!
Networking
Networking opportunities with peers and thought leaders. Connect with our speakers and your peers on our community Slack. Join our after-hours, in-person social events at apply(conf) in May.
Workshops
Workshops on using emerging tools in the world of data for Operational ML. apply(conf) in May will include workshops on feature stores, ML monitoring and observability, data labeling, and more.
apply() is presented by
apply() is supported by
