2023 MLOps World Call for Speakers – Register here

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

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

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

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

Yaron Haviv

Co-Founder & CTO, Iguazio

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

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

Dr. Chi Wang Principal Researcher, Microsoft Research Automated Machine Learning & Tuning with FLAML

Dr. Chi Wang

Principal Researcher, Microsoft Research

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

Tomi Poutanen Co-Founder & CEO, Signal 1 AI Talk: Transformative Power of ML in the Real World

Tomi Poutanen

Co-Founder & CEO, Signal 1 AI

Vinnie Saini Director and Senior Principal , Enterprise Data Architecture & Cloud Strategy, Scotiabank Critical Use of MLOps in Finance: Using Cloud-managed ML Services that Scale

Vinnie Saini

Director and Senior Principal, Enterprise Data Architecture & Cloud Strategy, Scotiabank

Arthur Berrill Head of Data Science, Royal Bank of Canada Embedding Diversity and Fairness Into Your Model Governance

Arthur Berrill

Head of Data Science, Royal Bank of Canada

2023 Sponsors and Partners

Platinum Sponsor

Gold Sponsors

Start-Up Showcase, Demo & Career Fair Sponsor

Silver Sponsors

Bronze Sponsor

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!”

2023 MLOps Steering Committee

Agenda

This agenda is still subject to changes
Download as PDF

FAQ

October 25th – 26th 2023 (In person Conference Sessions & Workshops) – held in person

This conference will be held in person

The talks are held in-person and are not streamed

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

Say Hello

Follow us