David Aronchick
Partner, Program Manager
Microsoft
April 21 + 22 /// 9:00 AM – 3:00 PM PDT
April 21 + 22
9:00 AM – 3:00 PM PDT
presented by
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.
Featured Speakers
Hendrik Brackmann
Director of Data Science and Analytics
Tide
Mike Del Balso
Co-Founder & CEO
Tecton
Ettie Eyre
Platform Engineering Lead
Cookpad
Sheila Hu
Senior Machine Learning Engineer
Etsy
Chip Huyen
Adjunct Lecturer
Stanford
Dr. Waleed Kadous
Head of Engineering
Anyscale
Aman Khan
Product Manager
Spotify
Stefan Krawczyk
Manager & Lead ML Platform Engineer
Stitch Fix
Valliappa Lakshmanan
Director
David Liu
Head of ML & Signal Platforms
Hien Luu
Sr. Engineering Manager
DoorDash
Wes McKinney
CEO & Founder
Ursa Computing
Barr Moses
CEO & Co-Founder
Monte Carlo
Niall Murphy
Global Head of Azure SRE
Microsoft
Diego Oppenheimer
CEO
Algorithmia
Willem Pienaar
Feast Committer and Tech Lead
Tecton
Alex Ratner
Co-Founder & CEO
Snorkel AI
Michelle Ufford
CEO and Co-Founder
Noteable
Todd Underwood
Director
Agenda
Check out our 30 educational talks delivered over two days of virtual conference:
Wednesday, April 21st, 9:00 AM – 3:00 PM Pacific Time
Thursday, April 22nd, 9:00 AM – 3:00 PM Pacific Time
Presented by
Proudly supported by our partners:
