Leonardo Royal London Tower Bridge
45 Prescot Street London E1 8GP

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

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CONFIRMED SPEAKERS INCLUDE

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NEW THIS YEAR

  1. Solve shared problems with expert AI attendees during networking sessions & Q&As with speakers

  2. Tailor Your Experience by creating personalised schedules, keeping up to date on any news and connecting with others before and after the event in the Event App

  3. Receive access to post-event presentation recordings to make the most of the sessions during the event

  4. Join a Networking Reception at the end of Day 1 to further connect with the cross-industry attendees at the event

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MLOps Summit

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Topics we cover

Machine Learning
Troubleshooting
Automation
Anomaly Detection
Collaboration
Architectural Practices
Cloud Computing
End-To-End Delivery
Machine Learning Pipelines
Machine Learning Workflows
Effective Training
Data Efficiency

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.

Extraordinary Speakers

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 Emerging Trends

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.

Expand Your Network

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 industry innovators sharing best practices to streamline your ML lifecycles.

Who Should Attend

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

Join the discussion

  • Influential AI Pioneers
  • 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

Downloads

View the summit brochure and all the information you need to convince your boss that attending the summit will help future-proof your business.

CONFIRMED ATTENDEES INCLUDE

Google
CapitalOne
Shopify
Visa
EasyJet
Huawei
deliveroo
Liberty Mutual
Novartis
H2O.AI
Fujitsu
VW
Nokia
NatWest
GumGum
William Hill
Total
Virgin
LinkedIn
LendBuzz
Royal Mail
hsbc
Schneider Electric
Expedia
Vodafone
Sainsburys
Jaguar Land Rover
Skype

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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ANML- Learning to Continually Learn

Secure Deep Reinforcement Learning

Interview on AI Ethics & Bias with ML Expert

WHAT PEOPLE SAY ABOUT RE•WORK

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Event Organiser /

Katie Pollitt

Head of Events

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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CONFIRMED PARTNERS

MEDIA PARTNERS & PRESS

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MLOps Summit

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