[AI Week] Fireside Chat: How AI is speeding up breakthroughs in cancer research

What happens when the country's leading cancer centers collaborate to learn from clinical datasets together, without ever moving a single patient record? On AI Frontier Day, Brian M. Bot joins Skillsheet’s Aniket Naravanekar for a fireside chat on the Cancer AI Alliance (CAIA). CAIA brings together leading cancer centers—Dana-Farber Cancer Institute, Fred Hutch Cancer Center, Johns Hopkins Medicine, and Memorial Sloan Kettering Cancer Center—with support from industry leaders such as Amazon Web Services (AWS), Deloitte, Ai2 (Allen Institute for AI), Google, Microsoft, NVIDIA, and Slalom. CAIA is establishing a secure federated learning infrastructure to accelerate breakthroughs in cancer research and care, bringing AI models directly to the data rather than moving sensitive clinical records outside institutional firewalls. What you'll learn How federated learning allows cancer centers to train AI models collaboratively while keeping sensitive clinical data secure What it takes to align leading cancer centers and technology leaders around a shared research, governance, and legal framework Key lessons for builders on building secure and collaborative AI infrastructure in regulated environments. Featuring Brian M. Bot is Director of AI & Data Science Partnerships at Fred Hutch Cancer Center and Director of the Cancer AI Alliance (CAIA) Strategic Coordinating Center. He is a data scientist and strategist focused on advancing collaborative, data-driven research.