Talk
Running AI Locally.
What it is, why it matters, and when to consider it.
Most companies experience AI as a subscription. Underneath, every AI tool is the same three layers – an application, an inference engine, and a model – and when you rent AI, all three belong to somebody else. The costs, the privacy terms, where your conversations are stored, which models still exist tomorrow: the vendor decides. For plenty of organizations that's a reasonable trade. But most leaders have never seen the alternative, so they've never actually made the choice.
This talk – built for marketers and business leaders, not developers – shows the alternative running live on an ordinary laptop, including a local document-analysis demo. It covers what you gain when there's no vendor in the loop: cost control, data that never leaves your systems, models nobody can take away from you. And what you inherit, because now you're the vendor – the maintenance, the hardware, and the guardrails a frontier company used to handle become yours. Local isn't a replacement for commercial AI. It's a different tool with a different risk profile – and this is a plainspoken look at when it fits.
If your company is adopting AI faster than it's answering questions like these – that's usually worth a conversation.
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