Machine Learning in Production
Bay Area
Presented by
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
Breakout Sessions
(All Levels)
Discussion Groups
Workshops
Virtual Platform
Past Event Chair
James Le
Data Advocate / Partnerships Lead, SuperbAI
Past Speakers
Amir Servi
Head of Product, Superwise
Talk: A Guide to Multi-Tenancy Architectures in ML
Raymond Reed
Customer Success Data Scientist, WhyLabs
Talk: Monitoring CV Systems: A Unique Solution to A Unique Problem
Nikita Demir
Founding Engineer, Galileo
Talk: Common ML Data Issues in Public Datasets
Yaoshiang Ho
Head of Product, Masterful AI
Talk: Practical Approaches to Computer Vision
Thaddeus Fortenberry
Senior Principal Computer Architect, Tenstorrent
Talk: The Exciting Evolution of MLOps
Rolando Garcia
PhD Candidate, UC Berkeley
Talk: Operationalizing Machine Learning: An Interview Study
Daniel Siryakov
Product Manager, Comet
Talk: Multiply Your Image Search & Testing Capabilities using Comet
Alex Kim
MLOps Solutions Engineer, Iterative
Talk: Machine Learning Experimentation with DVC and VS Code
Jimmy Whitaker
Chief Scientist of AI, Pachyderm
Talk: Rethinking ML Development – A Data-Centric Approach
Past Workshop Facilitators
Amber Roberts
Machine Learning Engineer, Arize AI
Workshop: Troubleshooting your ML Models in Production
Eddie Esquivel
Senior Solutions Architect, Tecton
Workshop: Building a Movie Recommendation System on Tecton with Snowflake
Gustaf Cavanaugh
Field Team, ContinualAI
Workshop: Beginner’s Guide to Operational ML with Python for Snowpark
Past Sponsors
Platinum Sponsor
Gold Sponsors
Silver Sponsors
