apply(conf)

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.

View Sessions On-Demand

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.

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May 18, 2022

8:30 AM to 2:30 PM PT

Virtual Sessions

Curated talks and panel discussions from thought leaders and practitioners

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3:00 PM to 4:00 PM PT

Workshops and Demos

Discover the latest tools in the MLOps
ecosystem with hands-on workshops and demos.

5:30 PM to 9:00 PM Local

In-person social meetups.

Join us for a fun evening of networking with your peers. Drinks
are on us!

5:30 PM to 8:30 PM PT

apply() in San Francisco

Kaiyo Rooftop, 701 3rd St

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6:00 PM to 9:00 PM ET

apply() in New York

Bar Hugo, 525 Greenwich St

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May 19, 2022

8:30 AM to 2:30 PM PT

Virtual Sessions

Curated talks and panel discussions from thought leaders and practitioners

+ Add to Calendar

3:00 PM to 4:00 PM PT

Workshops and Demos

Discover the latest tools in the MLOps ecosystem with hands-on workshops and demos.

Network Anytime

Tecton/Feast Community Slack

Join the private channel on our Slack. Connect with our speakers and your peers.
Hop on Slack

Featured Speakers

Chip Huyen

Co-Founder & CEO

Claypot AI

Daniele Perito

Co-Founder & Chief Data Officer

Faire

Smitha Shyam

Director of Engineering

Uber

Dr. Waleed Kadous

Head of Engineering

Anyscale

Sarah Cantazaro

General Partner

Amplify Partners

Leonard Aukea

Head of Machine Learning Engineering & Operations

Volvo Cars

Meenal Chhabra

Machine Learning Engineering Manager

CashApp

Lina Weichbrodt

Machine Learning Lead Engineer

DKB AG

Clem Delangue

Co-Founder and CEO

Hugging Face

Sarah Wooders

PhD Student

UC Berkeley – RISELab

Chris Albon

Director of Machine Learning

Wikimedia Foundation

Matei Zaharia

Co-Founder and Chief Technologist

Databricks

apply() is presented by

 

 

 

apply() is supported by