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

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Previous Speakers Include:

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Courtney McCormac

Director, Enterprise Data & Integration Analysis

New York Life

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Praveen Hirsave

Senior Director Cloud Platform Engineering

HomeAway.com

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David Pierce

Senior Software Development Engineer

USAA

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Andrew Tulloch

Research Engineer

Facebook

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Binwei Yang

Principal Engineer

Walmart Labs

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Juni Mukherjee

Product Marketer

CloudBees

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Bishnu Nayak

CTO

FixStream

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Will Cappelli

CTO, EMEA & VP of Product Strategy

Moogsoft

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Faiyadh Shahid

Research Engineer

EmbodyVR

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Hanlin Tang

Staff Algorithms Engineer

Intel

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Alexandre Combessie

Data Scientist

Dataiku

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Chandni Sharma

Cloud Engineer

Google

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Chris Fregly

Founder

PipelineAI

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Adam McMurchie

Head of DevOps

Barclays

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Chris Corriere

Senior DevOps Advocate

SJ Technologies

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Anurag Bihani

Cloud Software Engineer

Schlumberger

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Vilas Veeraraghavan

Director of Engineering

Walmart Labs

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Diego Oppenheimer

Founder & CEO

Algorithmia

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Haresh Chudgar

Software Engineer

Spotify

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Nicholas Léonard

Senior Data Scientist

Expedia Group

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Rico Meinl

Machine Learning Engineer

Sainsbury's

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Sandeep Jha

Staff Technical Program Manager

Linkedin

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Jun Jia

Senior Staff Software Engineer

Linkedin

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Nathalie de Marcellis

Full Professor

Polytechnique Montréal

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Rob Otter

MD, Head of Data Technologies & Applied ML

Barclaycard

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Chris Hughes

Machine Learning Engineer

Marks & Spencer

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New This Year

    1. Interactive Q&A Get all of your questions answered via live Q&As or submit your questions ahead of time.
    2. Hear from Expert Speakers on recent, relevant developments in MLOps
    3. Connect with Attendees via 1:1 video networking to expand your network & make new collaborations
    4. Access All Presentations across both tracks including content on Fair & Accountable Machine Learning
    5. Participate in Roundtable Discussions to ask speakers questions relevant to your organisation
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MLOps Summit

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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 450+ 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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    • 30 speakers
    • 450 leading technologists & innovators
    • Keynote presentations & panel sessions
    • Roundtable discussions + speaker Q&A
    • Access to filmed presentations & slides
    • Unlimited networking & connections
    • Discover technology shaping the future
  • Download

    Downloads

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Regular Attendees Include

General Motors
Cisco
spotify
Southwest Airlines
AT&T
Schlumberger
National Life Group
Service Now
Netflix
linkedin
dell
United Airlines
Nuxeo
Altus Cognitio
Shutterstock
Andarko Petroleum
Toyota Connected
TD Ameritrade
Google
Coursera
London Life
North Dakota University
Texas A&M
Cognizant
Apple
Capital One
Xebia Labs
Hitachi
Siemens
Phillips 66
Berkley Oil & Gas
facebook
Adobe
VnV DevOps
ebay
Target
JP Morgan Chase
Hewlett Packard Enterprise
CA Technologies
Rice University
Walmart
NASA
Thermofisher Scientific
RBS
BlackBaund

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 Pollitt

Senior Summit Creator

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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MLOps Summit

Purchase one ticket and get access to all 2 tracks

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