Machine Learning in Production
Vancouver
![](https://mlopsworld.com/wp-content/uploads/2021/12/Hubcities-Logo-3-e1676607980116.png)
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
![](https://mlopsworld.com/wp-content/uploads/2021/01/breakout-sessions_optimized.png)
Breakout Sessions
(All Levels)
![](https://mlopsworld.com/wp-content/uploads/2021/01/case-studies_optimized.png)
Discussion Groups
![](https://mlopsworld.com/wp-content/uploads/2021/01/virtual-peer-to-perr_optimized.png)
Virtual Platform
Past Event Chair
![Razi Bayati, Vancouver Chapter Chair, MLOps World: Machine Learning in Production](https://mlopsworld.com/wp-content/uploads/2021/12/Razi-Bayati.png)
Razi Bayati
Vancouver Chapter Chair, MLOps World: Machine Learning in Production
Past Speakers
![Ken Conroy, VP of Data Science, Finn AI, How A Data-Centric Approach to ML led Finn to World-Leading Conversational AI for Banking](https://mlopsworld.com/wp-content/uploads/2021/12/Ken-Conroy.png)
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, AutoML and MLOps](https://mlopsworld.com/wp-content/uploads/2022/01/Stella-Wu.png)
Stella Wu
Head of Machine Learning, Shakudo
Talk: AutoML and MLOps
![Vered Shwartz, Assistant Professor, UBC Computer Science, Recent Breakthroughs and Uphill Battles in Modern Natural Language Processing](https://mlopsworld.com/wp-content/uploads/2021/12/Vered-Shwartz.png)
Vered Shwartz
Assistant Professor, UBC Computer Science
Talk: Recent Breakthroughs and Uphill Battles in Modern Natural Language Processing
![Zaid Haddad, Data Scientist Leader, Slalom, Machine Learning Operations](https://mlopsworld.com/wp-content/uploads/2022/01/Zaid-Haddad.png)
Zaid Haddad
Data Scientist Leader, Slalom
Talk: Machine Learning Operations
![Yaser Khalighi, Founder and CEO, SceneBox, oftware 2.0 and Data-Centric AI](https://mlopsworld.com/wp-content/uploads/2022/01/Yaser-Khalighi.png)
Yaser Khalighi
Founder and CEO, SceneBox
Talk: Software 2.0 and Data-Centric AI
![Toren Huntley, Senior Data Scientist, Atreides, A Data First Approach](https://mlopsworld.com/wp-content/uploads/2021/12/Toren-Huntley.png)
Toren Huntley
Senior Data Scientist, Atreides
Talk: A Data First Approach
![Mohammad Ghodratigohar, Data Scientist and AI Cloud Solution Architect, Microsoft, Responsible MLOps](https://mlopsworld.com/wp-content/uploads/2022/01/Mohammad-Ghodratigohar.png)
Mohammad Ghodratigohar
Data Scientist and AI Cloud Solution Architect, Microsoft
Talk: Responsible MLOps
![Amir Abdi, Senior Research Engineer / Research Team Lead, Borealis AI, Monitoring AI Fairness](https://mlopsworld.com/wp-content/uploads/2021/12/Amir-Abdi.png)
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, Business-Value Best Practices for MLOps: Building Data Science into Digital Products](https://mlopsworld.com/wp-content/uploads/2022/01/Greg-Loughnane.png)
Greg Loughnane
Lead Instructor, MLOps, FourthBrain / Product Manager, Career Coach, FactoryFix
Talk: Business-Value Best Practices for MLOps: Building Data Science into Digital Products