AI adoption is accelerating. What began as isolated pilots is quickly expanding into enterprise-wide initiatives. But scaling AI isn’t just a technical challenge. It’s a governance challenge.
In this session, industry leaders James Rice, Diego Loureda, and Ave Gatton explore what it takes to move from one-off approvals to repeatable, governed AI at scale, so organizations can support widespread adoption without slowing innovation.
Why AI governance breaks down as pilots turn into enterprise infrastructure
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How to move from one-time approvals to scalable, repeatable controls
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What enterprise-ready AI governance looks like in practice
If your organization is expanding with AI initiatives and struggling to keep governance aligned with speed, this session will help clarify what needs to change.
Because scaling AI successfully requires more than powerful models. It requires control.
