Now Accepting
MLOps World 2023 Speakers

October 25-26th, Austin TX

Workshops & Use Cases Covering

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

For Sponsorship:
faraz@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 2022 June 9th – 10th is a 2-Day Global ML Festival where you will:

June 7th

Network on App!

15+ Virtual Workshops

June 8th

Network on App!

15+ Virtual Workshops

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
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.

2023 Speakers to be listed soon!
Past 2022 Speakers/ Topics

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

Alon Gubkin

CEO & Co-Founder, Predibase
Talk: Building Production ML Monitoring from Scratch: Live Coding Session

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

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 Accelerating Transformers with Hugging Face Optimum and Infinity

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 CyclOps – A Framework for Data Extraction, Model Evaluation and Drift Detection for Clinical Use-Cases

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

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

James Stewart

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

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

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, The Magic of Merlin: Shopify’s New Machine Learning Platform

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 MLOps Beyond Training: Simplifying and Automating the Operational Pipeline

Yaron Haviv

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

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

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 The Key Pillars of ML Observability and How to Apply them to Your ML Systems

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 How MLOps Tools Will Need to Adapt to Responsible and Ethical AI: Stay Ahead of the Curve

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 Automated Machine Learning & Tuning with FLAML

Dr. Chi Wang

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

Maia Brenner AI Specialist, Tryolabs Production System and Not Go Up in Smoke

Maia Brenner

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

Amber Roberts Machine Learning Engineer, Arize AI Talk: The Key Pillars of ML Observability and How to Apply Them to Your ML Systems

Robert Crowe

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

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

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 Machine Learning Monitoring in Production: Lessons Learned from 30+ Use Cases

Lina Weichbrodt

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

Past 2022 Sponsors

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 -7
Workshops

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

Designed for anyone working with ML/AI

Play Video

“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

FAQ

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

  • 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

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
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.
The talks are held in-person and are not streamed – We will however have bonus virtual workshops for ticket holders, June 7th – 8th, 2022.
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.
Tickets are refundable up to 30 days before the event.

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.

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.

Yes you can submit an abstract here.
*Content is non-commercial and speaking spots cannot be purchased.

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.

Yes, there will be spaces for company displays. You can inquire at faraz@mlopsworld.com

Become a partner

Email for Brochure: faraz@mlopsworld.com

Tickets

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