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ML-at-Scale '23

The live event is over.

358 People registered

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The ML-at-Scale Conference is an opportunity for machine learning and deep learning practitioners to explore the latest advancements in scaling machine learning, from open-source to high-performance computing. If ML is pivotal to your business, this conference is designed to help you put the latest ideas and tools into practice and take your AI/ML initiatives to the next level. 

Learn 
 
Hear from the very best in machine learning on cutting-edge techniques and best practices. From industry experts to open source leaders, we’ll be premiering sessions on topics like performing model training, transforming your data pipelines, practicing fairness and ethics in AI, and more.  

Practice 

Engage in hands-on workshops alongside the best in data science to broaden your AI toolkit. You should leave ML-at-Scale with new techniques and skills as well as familiarity with open source software from across the machine learning landscape. 

Engage 

Bring your own tips of the trade and pick up knowledge from others across ML! Networking is key to any conference, and we’ll coordinate breakout rooms and dedicated communication channels for attendees to meet new collaborators and deepen their connections with ML aficionados. 

If you are looking to attend ML-at-Scale register for the “Virtual Pass” ticket type to reserve your spot today! 

If you have a compelling ML use case, workflow, or application and want to share your story, you can submit a talk by registering for the “Call For Talks” ticket type and submitting your abstract. We'd love to hear from you!

We are fine-tuning the schedule and speaker details now, but the plan is to have a series of talks, panel Q&A sessions, and open forum discussions on: 

  • Tuesday, September 12 from 8-12am PT
  • Wednesday, September 13 from 11-3pm PT

If you're interested in sponsoring ML-at-Scale, please get in touch with Alex Putnam at alex.putnam@hpe.com 

Proudly supported by

gold

Hewlett Packard Enterprise

Speakers

Isha Ghodgaonkar

ML Developer Advocate

Hayden Barnes

Open Source Community Manager

Jimmy Whitaker

Chief Scientist, Pachyderm

Liam Li

Distinguished Technologist, HPE

Evan Sparks

Head of AI Solutions, HPE

Andrew Mendez

AI Solutions Engineer

Raffaele Tarantino

Data, Analytics, & AI Advisor

Aurelien Cogoluegnes

Data, Analytics, & AI Advisor

Edmondo De Salvo

Data, Analytics, & AI Advisor

Christian Temporale

Data, Analytics, & AI Advisor

Corey Staten

Applied Machine Learning Engineer

Kevin Musgrave

ML Developer Advocate

Sohini Roy

Senior Developer Relations Manager, NVIDIA

Andrea Carboni

AI Customer Engineering

Bradley Laney

Senior Software Engineer

Matthew Steffen

Pachyderm

Hosted by

Determined AI

Determined AI (an HPE company) creates tooling for machine learning developers to train models faster and easier with our open source platform: Determined.

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