TWIMLcon 2022

October 4-7, 2022

Join us for the leading MLOps & Enterprise ML/AI
virtual conference and community gathering

About TWIMLcon

TWIMLcon: AI Platforms is brought to you by the team behind the TWIML AI Podcast.

The conference has its roots in a series of interviews exploring the state of machine learning enabling technology and platforms, and what we now call MLOps, published back in the fall of 2018. That series—which featured interviews with ML platforms and infrastructure engineers and leaders from Facebook, Airbnb, LinkedIn, OpenAI and more—resonated very strongly with practitioners and remains relevant and popular to this day.

We’re excited to once again convene TWIMLcon to provide a forum for those working on productionalizing, operationalizing, accelerating and scaling real-world ML & AI to share, learn, and connect with one another.

Speakers

No fluff. TWIMLcon speakers are experienced ML and MLOps practitioners sharing real-world experiences gained at leading organizations.

Deep Learning Engineer
NVIDIA
Senior Machine Learning Engineer
Etsy
Co-Founder
Claypot AI
Director of Machine Learning
WikiMedia
Chief Intelligence Officer
Stability AI
Head of Community
MLOps Community
CEO
Iterative.ai
Technical Lead
Meta AI
AI Engineering Lead
Square
Staff Engineer, Machine Learning
Reddit
Machine Learning Platform Tech Lead
Shopify
Member and Adjunct Professor
SPC (South Park Commons) and MLSystems at NYU
Director of Engineering, Machine Learning and Data Science for Anti-Abuse
LinkedIn
Senior ML Engineer
Spotify
Principal Software Engineer
Waymo
Software Engineer
Etsy
CEO and Co-Founder
Weights and Biases
Senior Product Manager
Spotify
MLEM Project Team Lead
Iterative
Senior Director, ML Engineering
Capital One
CEO & Co-founder
Kolena
Consultant, co-Author of "Reliable Machine Learning: Applying SRE Principles to ML in Production"
Founder
Pragmatic Labs
Sr. Data Scientist
NVIDIA
Director of Engineering, ML
Reddit
CEO
Watchful
Senior Director of Machine Learning Infrastructure
LinkedIn
Senior Director, ML SRE
Google
Architect, Ethical AI Practice
Salesforce
Senior Machine Learning Research Engineer
Freenome
Director of Engineering, Machine Learning and Data Science
LinkedIn

Agenda

TWIMLcon features an exciting lineup of live podcast interviews, informative sessions and panel discussions, and networking opportunities.
Tuesday 10/4
Wed 10/5
Thursday 10/6
Friday 10/7
9 am US Pacific Time
Live Podcast Interview
Live Podcast Interview
Team Teardown
Networking
10 AM – 3:15 PM
Mainstage Sessions
Mainstage Sessions
Workshops
3:15 PM – 5 PM
Networking
Networking

Sponsors

Thank you TWIMLcon sponsors for supporting this event and the TWIML community.

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