The Ultimate ML Operations & Strategy Conference & Expo
June 7th – 10th, 2022
Sheraton Center, Downtown Toronto, CA
Workshops & Use Cases Covering
June 9th – 10th, 2022 2 Days (In-Person)
80+ Case Studies & Workshops
Sheraton Centre Toronto Hotel
123 Queen St W, Downtown
Toronto, Canada
Drop us a line:
info@mlopsworld.com
Thanks for joining us here.
The goal for MLOps World is to help companies put more models into production environments, effectively, responsibly, and efficiently. Whether you’re working towards a live production environment, or currently working in production, this is geared towards you on your journey.
We hope to see you soon.
The 3rd Annual MLOps World June 9th – 10th is a 2-Day Global ML Festival where you will:
June 7th
Network on App!
June 8th
Network on App!
June 9th
Expo and Conference Open!
Sheraton Centre Downtown Toronto
- 4 Tracks
- Hands-on Workshops
- Start-Up Expo & Career Fair
- Sponsor After-Party
June 10th
Expo and Conference Open!
Sheraton Centre Downtown Toronto
- 4 Tracks
- Free Speakers Corner
- Hands-on Workshops
- Videos Post Event
#MLOpsWorld2022 is safe and accessible. Designed for anyone working with ML/AI
Safety Precautions & Personal comfort Distancing in place
- Local health and safety guidelines in accordance with City of Toronto, and Marriot Hotels
- Resources on traveling to Canada
- Read our event’s Safety and Clean Policy
Accessibility
- Close captioning of recorded and virtual talks
- Access for those with limited accessibility
- Diversity & Inclusion tickets
Special In-House Hotel Rates
- Stay at the venue centre and don’t miss a thing. Special Sheraton Hotel Room Rates here. Across from City Hall and in the centre of lively downtown Toronto.
2022 Speakers/Topics
Alon Gubkin
CTO, Aporia
Senthilkumar Gopal
Senior Engineering Manager (Search ML), eBay Inc.
Philipp Schmid
Machine Learning Engineer & Tech Lead, Hugging Face
Vallijah Subasri
Graduate Researcher & Applied Machine Learning Intern, Vector Institute
Mike Del Balso
Co-Founder/CEO, Tecton
Andrea Olgiati
Chief Engineer, AWS SageMaker
Maryam Emami
Chief Executive Officer, AI Materia
Hagay Lupesko
Director of Engineering, Meta AI
James Stewart
CEO, TrojAI Inc.
Mihir Mathur
Product Manager, Machine Learning, Lyft
Isaac Vidas
Machine Learning Platform Tech Lead, Shopify
Yaron Haviv
Co-Founder & CTO, Iguazio
Victor Sonck
Evangelist, ClearML
Gandalf Hernandez
Senior Machine Learning Engineering Manager, Spotify
Patricia Thaine
Co-Founder & CEO, Private AI
Dr. Chi Wang
Principal Researcher, Microsoft Research
Maia Brenner
AI Specialist, Tryolabs
Robert Crowe
TensorFlow Developer Engineer, Google
Milecia McGregor
Developer Advocate, Iterative.ai
Lina Weichbrodt
Lead Machine Learning Engineer, DKB Bank
Platinum Sponsor
Gold Sponsors
Start-Up Showcase, Demo & Career Fair Sponsor
Silver Sponsors
Bronze Sponsors
Community Partners
Get inspired
We’ve planned 4 tracks to help tackle different perspectives, from speakers around the world;
Tracks include:
Business & Strategy Case Studies Technical levels 1-7 Workshops
See our Speakers
Get skilled-up
Designed for anyone working with ML/AI
Pick the workshops
to hone your skills.
Sessions Includes:
- How to Treat Your Data Platform Like a Product
- Managing a Data Science Team During the “Great Resignation”
- Overcoming Data Infrastructure Limitations with a New Paradigm for Machine Learning
- Becoming An ML Platform Power Builder
- Building Real-Time ML Features with a Feature Platform
- Building Production ML Monitoring from Scratch: Live Coding Session
- First-principles Thinking about Tool Choices SecMLOps – The What, How and Why?
- “A New Quality Evaluation Approach Supported by the Upcoming ISO Standards
- Creating Governance Systems that Ensure Fairness & Equity”
Explore the city. Build your community
“ML practices made accessible to companies of all sizes. This is an unique gathering!”
2022 MLOps Steering Committee
Agenda
This agenda is still subject to changes
Download as PDF
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FAQ
What is your health and safety plan for the event?
We’re aware that everyone’s comfort levels, and risk tolerance can vary. We are working to support every attendee’s level of comfort with regard to interactions/socializing. That will be indicated through Green/Yellow/Red badge indicators.
We also take very seriously all Safety precautions and follow local health and safety guidelines in accordance with City of Toronto, and Marriot Hotels.
If you’re unsure or have personal requirements- message us! We’re happy to work with you to provide a safe and enjoyable experience!
Resources on traveling to Canada
Read our event’s Safety and Clean Policy
What are the dates?
- June 7th – 8th, 2022 (*Bonus Workshop for ticket holder Days 1 and 2) – held virtually
- June 9th – 10th, 2022 (In person Conference Sessions & Workshops) – held in person
Is this a virtual or an in-person conference?
A portion is virtual and a portion in-person (The full conference will not be completely hybrid)
- June 7th – 8th, 2022 (*Bonus Workshop for ticket holder Days 1 and 2) – held virtually
- June 9th – 10th, 2022 (In person Conference Sessions & Workshops) – held in person
What happens if the in-person event cannot be held?
Can I watch the talks virtually?
The talks are held in-person and are not streamed – We will however have bonus virtual workshops for ticket holders, June 7th – 8th, 2022.
Which sessions are going to be recorded? When will the recordings be available and do I have access to them?
Is there ID or minimum age requirements to enter the event?
How can I contact the organizer with any questions?
Please email us at info@mlopsworld.com
What's the refund policy?
Why should I attend?
Developments are happening fast – it’s important to stay on top.
For businesses leaders, you will have direct contact with the people that matter most; consultants and experts, potential new hires, and potential new clients.
For data practitioners, you’ll have an opportunity to fast-track your learning process with access to relevant use-cases, and top quality speakers and instructors that you’ll make lasting connections with while building your network.
The event is casual and tickets are priced to remove all barriers to entry. Space, however, is limited.
Who will attend?
Please see our Who Attends Section for a full breakdown. Participants range from data scientists, to engineers, to business executives, and students. We’ll have multiple tracks and in app brain-dates to accommodate various vantage points and maturity levels.
Can I speak at the event?
*Content is non-commercial and speaking spots cannot be purchased.
Will you give out the attendee list?
Can my company have a display?
Become a partner
Email for Brochure: info@mlopsworld.com
