Last call for The Register’s data sovereignty dinner in Washington
First reported by The Register ·
This event will provide direct insights into the practicalities and costs of sovereign AI infrastructure for regulated industries.
The Register is hosting a data sovereignty dinner in Washington D.C. on Thursday, October 29, 2026, with sponsors HPE and NVIDIA. The event aims to address the challenges of data location, access, and auditability for AI in regulated industries. Editor-in-chief Matt Rosoff will chair the discussion, featuring Bharath Ramesh and Tracy Mills from HPE, and Bert Condensa from NVIDIA. The dinner, held under the Chatham House Rule, will focus on infrastructure options for maintaining data boundaries, their costs, and production viability. Attendees will be technology, data, and risk leaders from sectors including healthcare, financial services, research, pharmaceuticals, government, and higher education. The event will take place at Fiola Mare from 6:00 PM to 8:30 PM. Invitations are limited, and requests are being processed now.
The upcoming dinner in Washington D.C. signifies a critical juncture for AI adoption within highly regulated sectors, where data sovereignty concerns are a primary bottleneck. The involvement of industry leaders from HPE and NVIDIA, alongside The Register's editorial team, suggests a focused effort to elicit candid discussions on the real-world challenges, successful strategies, and potential missteps in building and deploying AI that meets stringent compliance and audit requirements.
The event's emphasis on 'no slides and no recording' under the Chatham House Rule is designed to foster an environment where frank, actionable intelligence can be shared, particularly concerning infrastructure costs and viability in production. This approach aims to provide attendees with concrete, unvarnished information that can inform their own data sovereignty and AI strategies, potentially guiding investment and architectural decisions away from approaches that have proven problematic or excessively expensive.
AI-written summary. May contain errors.