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