Are you curious about how the cloud can accelerate your AI research? Discover a real-world example at grand-challenge.org, where researchers in medical imaging can host algorithms, share datasets, and organize benchmarking challenges — all powered by the cloud.
Join this session to explore how we leverage cloud infrastructure to deliver secure, scalable tools for hosting challenges, reader studies, and algorithms — connecting a global community of researchers.
Looking for a platform that supports safe and transparent AI model development? In this session, you’ll gain a comprehensive overview of the open-source, cloud-based Grand Challenge platform and how it can supercharge your research in AI.
We’ll begin with a brief overview of the key steps in AI development, then dive into how the Grand Challenge platform streamlines each stage — from data management to algorithm deployment.
Next, we’ll explore how cloud technologies, specifically AWS services, help us meet the challenges of delivering these capabilities at scale. Learn how we ensure security, enable global access, and maintain the flexibility needed for cutting-edge research.
By harnessing the power of the cloud, Grand Challenge provides a secure, scalable, and collaborative environment for AI development. As an open-source initiative, it promotes transparency, reproducibility, and innovation in medical research.
Join us to see the platform in action — and discover how cloud-powered tools can elevate your AI research.