Discover strategies to ensure Machine Learning models are accountable & fair to build secure & responsible AI

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Confirmed Speakers Include:

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Krishna Sankar

Distinguished Engineer – AI

U.S. Bank

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Michael Tetelman

AI Research

Volkswagen Group

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Eshan Jain

Staff Data Scientist

Walmart Global Tech

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Georgios Damaskinos

Machine Learning Engineer

Facebook

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Adam Wenchel

CEO

Arthur

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Ramya Srinivasan

AI Researcher

Fujitsu Laboratories of America

More Speakers Coming Soon
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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 Fair & Accountable Machine Learning
    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 the latest trends in MLOps
    5. Participate in Roundtable Discussions to ask speakers questions relevant to your organisation
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MLOps Summit

Purchase one ticket and get access to all 2 tracks

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Topics we cover

Bias

Responsible AI

Accountability

ML Fairness

Data Governance

Machine Learning

Predictive Analytics

Troubleshooting

Automation

Anomaly Detection

Collaboration

Architectural Practices

Pattern Recognition

Cloud Computing

Data Efficiency

Bias

Responsible AI

Accountability

ML Fairness

Data Governance

Machine Learning

Predictive Analytics

Troubleshooting

Automation

Anomaly Detection

Collaboration

Architectural Practices

Pattern Recognition

Cloud Computing

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.

  • Speakers

    Extraordinary Speakers

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    Industry experts, data engineers, & AI ethicists leading the fair ML revolution will share model developing, monitoring & auditing practices to ensure systems are secure, private & free of bias. Learn from & connect with 450+ industry innovators to share learnings, guidelines, and advice for ML ethics, transparency & accountability.

  • Discover

    Discover Emerging Trends

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    Uncover cutting edge techniques & management ideas to ensure fairness in the ML lifecycle. Topics include tools to conduct algorithmic audits, mitigating bias in systems, ethics in the MLOps process, A/B testing and fairness policy compliance.

  • Network

    Expand Your Network

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    A cross-disciplinary mix of pioneers will share expertise, vision and leadership to provide actionable advice and technical strategies for enterprises, government, startups, academia & industry to develop and progress AI in a fair, accountable and transparent way.

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    Who Should Attend

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    • AI Ethicists
    • AI Strategists
    • Cloud Engineers
    • CTOs
    • Data Engineers
    • Data Scientists
    • Developers
    • Ethics Researchers
    • Fairness Lead
    • IT Decision-Makers
    • Lead for Responsible AI
    • 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

Register now

MLOps Summit

MLOps Summit

2 June 2021 - 8AM PDT | 11AM EDT | 4PM BST

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