Where does your AI data actually live?

When it comes to AI systems in regulated industries, there are two key boundaries to consider. The first is the jurisdiction, which determines what data can leave the country and under which rules. The second boundary is more localized - it pertains to what can leave your own infrastructure and who has the authority to sign off on it.

Many AI programs do not pause at this stage; they stall at the point of data residency, access control, and the evidence required by auditors a year later. The data that gives an AI system its value is the same data that poses a risk in its deployment. A product sheet may not provide the answers to these questions, as they need to be addressed individually, considering the specific regulator and legal team involved.

To shed light on this matter, The Register is hosting a dinner with HPE and NVIDIA experts on October 29th in Washington. HPE's Thierry Pienaar, Chief Technology Officer for HPC and AI Worldwide Sales, and NVIDIA's Bert Condensa, Vice President for Enterprise AI Factory Segment Sales, will be in attendance to answer questions. The conversation, governed by the Chatham House Rule, will cover the infrastructure options that effectively create boundaries, their associated costs in capital, performance, and scalability, and whether these solutions remain viable after transitioning from planning to operational phase.

The event aims to engage technology, data, and risk leaders from various sectors such as healthcare, financial services, research, pharmaceuticals, government, and higher education who are currently making these critical decisions.