Hosted by MLOps Community. Panelist to be announced soon.

Demetrios Brinkmann, founder of MLOPs.community leads a panel managing the increasing compute requirements of AI models, whilst striking the right balance between flexibility for experimentation and stability in production. 

As enterprises collect more training data, and in many cases label it with Scale AI, they face the challenge of their models growing in both size and compute complexity. Join this session to learn how companies can develop robust and maintainable pipelines to ensure that ML experimentation remains possible, despite increasing model sizes and longer training times. This session will also cover compute for lifecycle phases from experimentation to scaling (with Metaflow, TFX, etc.) pipelines that are ready to deploy to production, including via microservices. 


Demetrios Brinkmann

Anitha Vijayakumar

Jack Guo 

Vishnu Rachakonda

Oleg Avdeëv

Panel: Managing Compute With MLOps to Handle Growing Datasets & Model Sizes

OCTOBER 19TH - 21ST

TransformX Conference brings together 25,000+ AI and Machine learning leaders and practitioners. 80+ sessions and 100+ speakers are featured over 3-days of content. 

Agenda

We're looking for submissions across industries covering the latest research in AI and Machine Learning includings topics on NLP, Computer Vision, MLOps, The Business of AI, AI Policy & Governance, and more.

The Call for Speakers is now closed. Please reach out to rebecca.woerner@scale.com with any questions.

Call for Speakers

Join us in San Francisco

TransformX will host 500 prominent guests at SF Jazz in San Francisco for one-day of         in-person sessions on Wednesday, October 19th. This stunning, modern, and intimate setting         allows the opportunity of in-person networking, booths, and live speaker sessions to an         exclusive, curated audience.

An Unforgettable Gathering of AI Visionaries

Join Scale AI as we bring together the world's brightest AI leaders, visionaries, practitioners, and researchers across industries to explore operationalizing AI and Machine Learning.This year's conference will feature three days of in-person and virtual keynote presentations, fireside chats, expert panel discussions, and hands-on workshops.

Anitha Vijayakumar

Bio

Anitha Vijayakumar