Enterprises adopting AI are deciding where their models run, where their data goes, and how much control to keep. Running AI in house means owning the servers, network and data center behind it, which can make AI safer or harder to secure. And as agents start acting inside the business, someone has to answer for what they do.
Join Quantec, Kindo and Meter on the Arc Beverly rooftop for a conversation with the people building, securing and paying for these systems. Built for CIOs, CISOs, CTOs, and IT, security and infrastructure leaders.
What we'll get into
• Safety and sovereignty: when does keeping AI under your own control make it safer, and what happens when a policy change forces you off a model provider?
• Agents with real permissions: what they can touch, what gets logged, and who signs off.
• Running AI in house: the servers, GPUs, power, network and storage it takes, and what changes when AI starts running the infrastructure itself.
• Buy, lease or rent: how companies are financing AI infrastructure, how it lands on the balance sheet, and when deterministic code beats paying for tokens.