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
Past Sponsors
Platinum Sponsor
Gold Sponsors
Silver Sponsors
