Machine Learning in Production
Silicon Valley

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:
- 6 speakers
- Access 3 hours of live-streamed content (incl. recordings)
- Talks for beginners/intermediate & advanced
- Case Studies, Executive Track – Business Alignment & Advanced Technical Research
- Q+A with speakers
- ML in production workshops
- Channels to share your work with community
Join this new initiative to help push the AI community forward.
We’re Hosting

Breakout Sessions
(All Levels)

Discussion Groups

Workshops

Virtual Platform
Past Speakers

Ravi Kiran Chirravuri
Machine Learning Infrastructure, Netflix
Talk: Metaflow: Supercharging Our Data Scientist Productivity

Jan Florjanczyk
Senior Data Scientist, Netflix
Talk: Metaflow: Supercharging Our Data Scientist Productivity

Hagay Lupesko
Engineering Leader, AI and ML, Facebook
Talk: Recommendation System with Deep Learning and PyTorch

Vishwakarma Singh
Machine Learning Researcher, Pinterest
Talk: Machine Learning for Trust and Safety at Pinterest

Léa Genuit
Data Scientist, Fiddler
Talk: Explainable Monitoring for Successful Impact with AI Deployments

Meeta Dash
VP Product, Verta
Talk: Simplifying AI DevOps with Model Registry

Rustem Feyzkhanov
Machine Learning Engineer, Instrumental
Talk: Serverless for Machine Learning Pipelines.
Past Workshop Facilitators

Jules Damji
Developer Advocate, Databricks
Workshop: Introduction to MLflow: Machine Learning Life Cycle Management Platform

Elle O’Brien
Data Scientist, Iterative.ai
Workshop: How to Automate Machine Learning with GitHub Actions