Discover how to optimize the machine learning lifecycle & streamline your pipeline for better production

Join the conversation #reworkAI

Early Confirmed Speakers:

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Korri Jones

Senior Lead Machine Learning Engineer

Chick-fil-A

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Emily Curtin

Senior Machine Learning Engineer

Mailchimp

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Adam Kraft

Machine Learning Engineer

Google Brain

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Supreet Kaur

Assistant Vice President

Morgan Stanley

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Jimmy Simmons

Principal Team Leader, Machine Learning Operations and Big Data

Chick-fil-A

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Lakshmi Ravi

Applied Scientist

Amazon

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David Liu

Head of ML Platform

Pinterest

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Zachary Hanif

Vice President of Machine Learning

Capital One

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Naman Kohli

Applied Scientist

Amazon

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Hiranmayi Ranganathan

Machine Learning Specialist

Accelerating Therapeutics for Opportunities in Medicine (ATOM)

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Geetha Ganesan

Software Development Manager

Amazon

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Diego Klabjan

Professor

Northwestern University

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Mac Macoy

Senior Software Engineer - MLOps

Chick-fil-A

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Johnson D'Souza

Sr. Engineering Manager, Machine Learning

Course Hero

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Raymond Hitti

Product Manager

Sama

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Chris Van Pelt

Co-Founder

Weights & Biases

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Ville Tuulos

Co-founder & CEO

Outerbounds

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Frankie Cancino

Data Scientist

Mercedes-Benz Research & Development

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Gideon Mendels

CEO and Founder

Comet

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New This Year

    1. Receive access to multiple stages to optimize cross-industry learnings & collaboration

    2. Solve shared problems with pioneering AI attendees during round table discussions, Q&As with speakers or schedule 1:1 meetings

    3. Attend technical labs, participate in practical workshops & meet investors during Deep Dive Sessions

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MLOps Summit San Francisco

Purchase one ticket and get access to all 2 tracks

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Topics we cover

Machine Learning

Troubleshooting

Automation

Anomaly Detection

Collaboration

Architectural Practices

Cloud Computing

Data Efficiency

End-To-End Delivery

Machine Learning Pipelines

Machine Learning Workflows

Effective Training

Deployment

Machine Learning

Troubleshooting

Automation

Anomaly Detection

Collaboration

Architectural Practices

Cloud Computing

Data Efficiency

End-To-End Delivery

Machine Learning Pipelines

Machine Learning Workflows

Effective Training

Deployment

Why Attend

Our events bring together the latest technology advancements as well as practical examples to apply AI to solve challenges in business and society. Our unique mix of academia and industry enables you to meet with AI pioneers at the forefront of research, as well as exploring real-world case studies to discover the business value of AI.

  • Speakers

    Extraordinary Speakers

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    Discover advances in MLOps from the world’s leading innovators. Learn from pioneering researchers in areas such as continuous delivery, pipeline efficiency, scaling model inference, team roles & managing ML model portfolios. Explore how these agile techniques can optimize ML workflows to minimize the costs of ML production, management & deployment.

  • Discover

    Discover Emerging Trends

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    The summit will highlight cutting-edge trends in MLOps from using agile management techniques to end-to-end delivery and reducing operational complexity. Hear best practices for designing & managing the ML production process through the automation of lifecycles for training & testing data sets.

  • Network

    Expand Your Network

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    A unique opportunity to interact with industry leaders, data engineers, MLOps specialists & IT decision-makers leading the efficient ML production revolution. Learn from & connect with influential industry innovators sharing best practices to streamline your ML lifecycles.

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    Who Should Attend

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    • Cloud Engineers
    • CTOs
    • Data Engineers
    • Data Scientists
    • Developers
    • DevOps Managers
    • Heads of Digital Transformation
    • IT Decision-Makers
    • Software Engineers
    • ML Engineers
  • Join

    Join the discussion

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    • Influential AI speakers
    • Leading technologists & innovators
    • Keynote presentations & panel sessions
    • Roundtable discussions + speaker Q&A
    • Unlimited networking & connections
    • Discover technology shaping the future
  • Download

    Downloads

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    Download the Attendee List to see who you can expect to meet!

Regular Attendees Include

Google
Scotiabank
Capital One
Shopify
VISA
easyJet
huawei
Deliveroo
UBS
CBC Radio Canada
Liberty Mutual
Novartis
H2O.ai
Fujitsu
volkswagen
nokia
Natwest
gum gum
William Hill
Total
Virgin
Fedex - Attending Company
linkedin
Lendbuzz
Pfizer
Royal Mail
HSBC
Mailchimp
Schneider Electric
Target
Expedia

Summary

Jeff Clune, Team Lead at OpenAI

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Presentation

Dawn Song, Professor of Computer Science at UC Berkeley

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Interview

Shalini Ghosh, Director of AI Research at Samsung Research

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What people say about RE•WORK/

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Event Organiser/

Katie Flash

Senior Conference Producer- Americas

Our events are all carefully created from scratch. The whole process from research to post-production is crafted by our team, so we are always available to assist with any queries! We look forward to meeting you at the event!

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Sponsors Include:

Comet.001
Valohai
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Snorkel
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Media Partners & Press

Kd nuggets.001
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Aij.001
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Bigdataanalytics resized
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As Featured In

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MLOps Summit San Francisco

Purchase one ticket and get access to all 2 tracks

Register now

MLOps Summit San Francisco

MLOps Summit San Francisco

15 - 16 June 2022

Get your ticket
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