Where does your AI data actually live?

Two key boundaries surround AI systems in regulated industries: jurisdictional limits on where data can travel and the physical infrastructure where data resides. The data that defines an AI system's worth is also the data that makes it risky to develop. The specifics of these boundaries are determined on a case-by-case basis by regulators and legal teams, which is why The Register is meeting with HPE and NVIDIA to discuss.

Neither company presented pre-packaged slides; instead, they answered questions under the Chatham House Rule, allowing information to be shared and attributed. The meeting focused on infrastructure options that enforce boundaries, their costs in terms of capital, performance, or flexibility, and their durability as systems move from planning to operation.

The discussion targeted technology, data, and risk leaders from various sectors, including healthcare, finance, research, pharmaceuticals, government, and higher education. Dinner was held at Fiola Mare, with limited places available on a case-by-case basis.