Getting a first computer vision deployment live is the easy part, so why do so many scaling programs stall?
In this conversation, we challenge the assumption that scaling is simply a matter of adding more cameras and sites. Instead, we explore what actually determines whether a program becomes a repeatable operational capability or gets stuck at use case one. Rather than focusing on theory, this discussion brings a practical, field-tested perspective on how leading organizations are sequencing rollout, aligning stakeholders, and building governance structures that hold up under real-world pressure.
We unpack the three layers that separate a deployment that scales from one that doesn’t: the model, the logic, and the operational layer. Through concrete examples and candid insights, this webinar will reframe how you think about implementation, helping you move beyond the first use case and toward a rollout motion that gets faster, not harder, with every new camera, site, and workflow you add.
