DATA SCIENCE REALIZED 2020

The MLOps Conference has moved online.

Join us to hear from industry experts as they share on our Live Webinar Series the challenges and practical solutions that involve running Al experiments at scale, delivery to production, and data access

This is not another data science conference about algorithms. The MLOps SF conference focuses on managing and automating machine learning pipelines, to bring data science into real business applications. The conference will go beyond theory, with industry leaders sharing painful machine learning experiences which involve running experiments at scale, versioning, delivery to production, reproducibility and data access.

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GET TO THE CORE OF
KUBEFLOW AND OPEN SOURCE
MLOPS
AUTOMATION
ONLINE & OFFLINE FEATURE STORES
PERFORMANCE AND SCALE
EXPERIMENT & DATA TRACKING
LAST YEAR'S SPEAKERS
Chris Wiggins
Chief Data Scientist, The New York Times
Julie Pitt
Director, Data Science Platform, Netflix
Joshua Patterson
Data Science Director, NVIDIA
Karl Weinmeister
Cloud AI Developer Advocacy, Google
David Aronchick
Head of Open Source Machine Learning, Microsoft
Orit Nissan-Messing
VP R&D, Iguazio
Brittany Wills
Software Engineer, Twitter
Clemens Mewlad
Director of Data Science, Databricks
William Groves
Chief Data Officer, Walmart
Show More
WATCH THE TALKS FROM LAST YEAR
A BIG THANKS TO OUR 2019 SPONSORS
EARLY BIRD
By April 1
STANDARD
By May 5
ON-SITE
May 6
$145
$195
$245

Bespoke

845 Market St Suite 450

San Francisco, CA 94103

May 6th, 2020

For questions and to inquire about sponsorship, let's talk:

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©2020 by Iguazio

#MLOpsSF20

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