Machine Learning in Production
Bay Area
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Presented by
![](https://mlopsworld.com/wp-content/uploads/2022/10/Superb-AI.png)
A Uniquely Interactive Experience
Why MLOps Production & Engineering?
Too few companies have effective AI leaders or an effective AI strategy.
An interactive virtual 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 free virtual micro-summit includes:
- Special focus on Computer Vision
- 8 Speakers
- 3 Workshops
- In-person pub gathering on Oct 13th, 2022
Join this initiative to help push the ML community forward.
We’re Hosting
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Breakout Sessions
(All Levels)
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Discussion Groups
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Workshops
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Virtual Platform
Past Event Chair
![](https://mlopsworld.com/wp-content/uploads/2022/07/James-Le.png)
James Le
Data Advocate / Partnerships Lead, SuperbAI
Past Speakers
![](https://mlopsworld.com/wp-content/uploads/2022/10/Amir-Servi.png)
Amir Servi
Head of Product, Superwise
Talk: A Guide to Multi-Tenancy Architectures in ML
![](https://mlopsworld.com/wp-content/uploads/2022/10/Raymond-Reed.png)
Raymond Reed
Customer Success Data Scientist, WhyLabs
Talk: Monitoring CV Systems: A Unique Solution to A Unique Problem
![](https://mlopsworld.com/wp-content/uploads/2022/10/Nikita-Demir.png)
Nikita Demir
Founding Engineer, Galileo
Talk: Common ML Data Issues in Public Datasets
![](https://mlopsworld.com/wp-content/uploads/2022/10/Yaoshiang-Ho.png)
Yaoshiang Ho
Head of Product, Masterful AI
Talk: Practical Approaches to Computer Vision
![](https://mlopsworld.com/wp-content/uploads/2022/10/Thaddeus-Fortenberry.png)
Thaddeus Fortenberry
Senior Principal Computer Architect, Tenstorrent
Talk: The Exciting Evolution of MLOps
![](https://mlopsworld.com/wp-content/uploads/2022/10/Rolando-Garcia.png)
Rolando Garcia
PhD Candidate, UC Berkeley
Talk: Operationalizing Machine Learning: An Interview Study
![](https://mlopsworld.com/wp-content/uploads/2022/10/Daniel-Siryakov.png)
Daniel Siryakov
Product Manager, Comet
Talk: Multiply Your Image Search & Testing Capabilities using Comet
![Alex Kim ML Engineer, Iterative Best MLOps Practices for Building End-to-End Deep Learning Projects](https://mlopsworld.com/wp-content/uploads/2022/06/Alex-Kim.png)
Alex Kim
MLOps Solutions Engineer, Iterative
Talk: Machine Learning Experimentation with DVC and VS Code
![](https://mlopsworld.com/wp-content/uploads/2022/10/Jimmy-Whitaker.png)
Jimmy Whitaker
Chief Scientist of AI, Pachyderm
Talk: Rethinking ML Development – A Data-Centric Approach
Past Workshop Facilitators
![](https://mlopsworld.com/wp-content/uploads/2022/10/Amber-Roberts.png)
Amber Roberts
Machine Learning Engineer, Arize AI
Workshop: Troubleshooting your ML Models in Production
![](https://mlopsworld.com/wp-content/uploads/2022/10/Eddie-Esquivel.png)
Eddie Esquivel
Senior Solutions Architect, Tecton
Workshop: Building a Movie Recommendation System on Tecton with Snowflake
![](https://mlopsworld.com/wp-content/uploads/2022/10/Gustaf-Cavanaugh.png)
Gustaf Cavanaugh
Field Team, ContinualAI
Workshop: Beginner’s Guide to Operational ML with Python for Snowpark