Why Join
The Federate AI Summit is designed for AI and business leaders faced with navigating the complexities of AI adoption within highly-regulated environments.
As the enterprise landscape shifts toward decentralized architectures, Federated AI has emerged as a strategic imperative.
The Summit is focused on high-impact networking and candid knowledge exchange and will take place across two separate forums.
October 19 - Full Summit: Open to leaders across industries and enterprises.
Agenda Tracks
ENABLE & TRUST: The Infrastructure and Governance Layer
Federated computing only scales if the plumbing and the guardrails are both solid — this track brings the two together. Hear directly from the infrastructure players building the technical backbone of federated systems today, and from the governance leaders navigating sovereignty, cross-border data rules, and the trust requirements enterprises demand before they'll deploy.
SCALE & DEPLOY: Enterprise Use Cases
Hear from the teams who've actually done it — rolling federated systems out across multiple sites, getting buy-in from skeptical stakeholders, migrating to cloud, running real analyses at scale — across pharma, healthcare, banking, agrotech, cyber defense, and automotive. Learn what worked, what broke, and what it took to get from pilot to production.
NEXT: Pushing the Science Forward
Where is federated learning actually headed? This track pulls together the researchers pushing the science forward — new approaches and the methods shaping what's possible — alongside scientists sharing real proof-of-concept stories from the field.
GROWTH: Market, Capital & Builders
Federated computing is proving itself as the future of AI infrastructure — this track is where the money and the builders meet. Investors active in the space share what they're seeing, where they think the market is headed, and what you should consider whether you're raising, investing, or looking for your next partner.
Featured Speakers
(more to come...)
Researcher in Privacy-Preserving AI, University of Hamburg
President & CEO, ICHOM
Principal Partner SA, Worldwide Healthcare and Life Sciences, AWS
CEO of Rhino Federated Computing
Biomedical Data Science & Technology Executive, MSKC
General Manager of Tempus Lens & VP of Translational Research, Tempus
Mani Jain
Principal Data Scientist, Amgen
Assistant Research Professor, Director of Preclinical Imaging, University of Cambridge
Senior Computer Scientist, Argonne National Laboratory
Executive Vice President at TCG Digital
Postdoctoral Researcher, Biomedical Engineering, Emory
Associate Vice President, AI & AI Fellow, Fordham University
Senior. VP R&D, Computational Biology, Inari
Associate Member Machine Learning, Moffitt Cancer Center
Professor of Radiology, Dana-Farber Cancer Institute
Principal Federated Learning Scientist at NVIDIA
Director of the Global Healthcare Innovation, Fordham University
Chief Operating Officer, PacBio
Chief Operating Officer, Synthesize Bio