June 7th – 8th, 2022 2 Days (Bonus Virtual Sessions for ticket holders)
June 9th – 10th, 2022 2 Days (In-Person)
80+ Case Studies & Workshops

Sheraton Centre Toronto Hotel
123 Queen St W, Downtown
Toronto, Canada

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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!

15+ Virtual Workshops
Discover our speakers

June 8th

Network on App!

15+ Virtual Workshops
Discover our speakers

June 9th

Expo and Conference Open!

Sheraton Centre Downtown Toronto
  • 4 Tracks
  • Hands-on Workshops
  • Start-Up Expo & Career Fair
  • Sponsor After-Party
See Sessions

June 10th

Expo and Conference Open!

Sheraton Centre Downtown Toronto
  • 4 Tracks
  • Free Speakers Corner
  • Hands-on Workshops
  • Videos Post Event
View Full Agenda

#MLOpsWorld2022 is safe and accessible. Designed for anyone working with ML/AI

Safety Precautions & Personal comfort Distancing in place
  • 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.
Join us at our Annual Gathering

2022 Speakers/Topics

Alon Gubkin

CTO, Aporia
Talk: Building Production ML Monitoring from Scratch: Live Coding Session

Senthilkumar Gopal

Senior Engineering Manager (Search ML), eBay Inc.
Workshop: Scaling ML Embedding Models to Serve a Billion Queries

Philipp Schmid

Machine Learning Engineer & Tech Lead, Hugging Face
Workshop: Accelerating Transformers with Hugging Face Optimum and Infinity

Vallijah Subasri

Graduate Researcher & Applied Machine Learning Intern, Vector Institute
Talk: CyclOps – A Framework for Data Extraction, Model Evaluation and Drift Detection for Clinical Use-Cases

Mike Del Balso

Co-Founder/CEO, Tecton
Talk: Building Real-Time ML Features with a Feature Platform

Andrea Olgiati

Chief Engineer, AWS SageMaker
Talk: Panel: Embedding Diversity and Fairness Into Your Model Governance

Maryam Emami

Chief Executive Officer, AI Materia
Talk: AI in Robotics, Manufacturing, and Media: How Good Practices Can Shape the Future

Hagay Lupesko

Director of Engineering, Meta AI
Talk: Understanding Foundation Models: A New Paradigm for Building and Productizing AI Systems

James Stewart

CEO, TrojAI Inc.
Talk: Robustness and Security for AI and the Dangerous Dismissal of Edge Cases

Mihir Mathur

Product Manager, Machine Learning, Lyft
Workshop: Defending Against Decision Degradation with Full-Spectrum Model Monitoring : Case Study and AMA

Isaac Vidas

Machine Learning Platform Tech Lead, Shopify
Talk: Shopify’s ML Platform Journey Using Open Source Tools. Case Study Building Merlin & AMA

Yaron Haviv

Co-Founder & CTO, Iguazio
Workshop: MLOps Beyond Training: Simplifying and Automating the Operational Pipeline

Victor Sonck

Evangelist, ClearML
Workshop: MLOps is Just HPC in Disguise. A Real-World, No Nonsense Guide to Upgrading Your Workflow

Gandalf Hernandez

Senior Machine Learning Engineering Manager, Spotify
Talk: Becoming An ML Platform Power Builder Powered by ML Observability

Patricia Thaine

Co-Founder & CEO, Private AI
Talk: How MLOps Tools Will Need to Adapt to Responsible and Ethical AI: Stay Ahead of the Curve

Dr. Chi Wang

Principal Researcher, Microsoft Research
Workshop: Automated Machine Learning & Tuning with FLAML

Maia Brenner

AI Specialist, Tryolabs
Talk: Production System and Not Go Up in Smoke

Robert Crowe

TensorFlow Developer Engineer, Google
Workshop: Production ML for Mission-Critical Applications

Milecia McGregor

Developer Advocate, Iterative.ai
Talk: How to Conquer Data Drift & Prevent Stale Models in Production using DVC

Lina Weichbrodt

Lead Machine Learning Engineer, DKB Bank
Workshop: Machine Learning Monitoring in Production: Lessons Learned from 30+ Use Cases
View All Speakers

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

Check out Toronto

“ML practices made accessible to companies of all sizes. This is an unique gathering!”

2022 MLOps Steering Committee


This agenda is still subject to changes
Download as PDF

Join us at our Annual Gathering


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?
If health and safety conditions require us to not meet in person, the full conference will be held online with a portion of the ticket refunded.
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?
Most sessions will be recorded during the event (provided speaker permits) and will be made available to attendees approximately 2-4 weeks after the event and be available for 12 months after release.
Is there ID or minimum age requirements to enter the event?
There is not. Everyone is welcome.
How can I contact the organizer with any questions?

Please email us at info@mlopsworld.com

What's the refund policy?
Tickets are refundable up to 30 days before the event.
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?
Yes you can submit an abstract here.
*Content is non-commercial and speaking spots cannot be purchased.
Will you give out the attendee list?
No, we do our best to ensure attendees are not inundated with messages, We allow attendees to stay in contact through our slack channel and follow-up monthly socials.
Can my company have a display?
Yes, there will be spaces for company displays. You can inquire at faraz@mlopsworld.com

Become a partner

Email for Brochure: info@mlopsworld.com