Why Vision AI Pilots Stall, and How to Scale Them

​Most AI projects never make it out of the pilot. Teams test a dozen use cases, scale one or two, and quietly shelve the rest. Usually it is not the technology that failed, but the operating procedure.

​In this live session, we will hear from Roboflow's Salo Levy, who has spent years helping organizations get their computer vision systems into production. He will walk through why pilots stall, what it actually takes to get one all the way onto the floor, and how to scale the solution to additional departments or sites.

​We will cover how to identify which problems are a good fit for vision AI, how to set a measurable goal, and how to prove a system is ready. From there we'll explore scaling across teams and sites: the difference between push and pull, how a shared solution catalog lets plants adapt proven work instead of starting from scratch, and how a single vision model can deliver value to several teams at once.

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​Every week we dive into the world of computer vision and explore new tools, interesting projects, and tutorials. This webinar is open to everyone, we hope to see you there!

We'll also make time at the end for open Q&A.