Machine Learning in Production
Vancouver
A Uniquely Interactive Experience
Why MLOps Production & Engineering?
Too few companies have effective AI leaders or an effective AI strategy.
An interactive conference is one in which you meet attendees before the event, message speakers directly, discuss specific areas of your work and establish a stronger network. We’re working to help you with a clearer understanding of best practices, methodologies, and principles of effective ML.
The micro-summit includes:
- 8 Speakers
- Access 8+ hours of live-streamed content (incl. recordings)
- Talks for beginners/intermediate & advanced
- Channels to share your work with the community
Join this new initiative to help push the AI community forward.
We’re Hosting
Breakout Sessions
(All Levels)
Discussion Groups
Virtual Platform
Past Event Chair
Razi Bayati
Vancouver Chapter Chair, MLOps World: Machine Learning in Production
Past Speakers
Ken Conroy
VP of Data Science, Finn AI
Talk: How A Data-Centric Approach to ML led Finn to World-Leading Conversational AI for Banking
Stella Wu
Head of Machine Learning, Shakudo
Talk: AutoML and MLOps
Vered Shwartz
Assistant Professor, UBC Computer Science
Talk: Recent Breakthroughs and Uphill Battles in Modern Natural Language Processing
Zaid Haddad
Data Scientist Leader, Slalom
Talk: Machine Learning Operations
Yaser Khalighi
Founder and CEO, SceneBox
Talk: Software 2.0 and Data-Centric AI
Toren Huntley
Senior Data Scientist, Atreides
Talk: A Data First Approach
Mohammad Ghodratigohar
Data Scientist and AI Cloud Solution Architect, Microsoft
Talk: Responsible MLOps
Amir Abdi
Senior Research Engineer / Research Team Lead, Borealis AI
Talk: Monitoring AI Fairness
Greg Loughnane
Lead Instructor, MLOps, FourthBrain / Product Manager, Career Coach, FactoryFix
Talk: Business-Value Best Practices for MLOps: Building Data Science into Digital Products
Past Event Partners
