Webinar: ML-at-Scale ’23

This event brings together experts in machine learning to discuss the challenges and opportunities of achieving ML-at-Scale.

Today’s ML developers train models that have an infinite number of parameters on limited compute resources. ML teams are typically small in size, limiting the scope of achievable projects. Combine those challenges with the endless state-of-the-art models and training sets and seemingly limitless number of deployment options, ML practitioners have their hands full. Achieving “ML-at-Scale” means identifying the hardest problems but also discovering the biggest opportunities for applying ML today.

At ML-at-Scale ‘23’, you will have the opportunity to participate in hands-on workshops, attend keynote speeches from leading machine learning experts, and network with open source leaders and enterprise technology gurus that address the complexities of performing machine learning at-scale.

ML-at-Scale ‘23 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 machine learning 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.