Building an AI proof of concept today is surprisingly easy. With the right tools and platforms, you can get something working in no time.
But turning that PoC into a production system is where the real work begins.
Suddenly, it’s about privacy, scalability, reliability, cost, and automation. Tools that worked fine in a prototype start to show their limits.
In this talk, I’ll walk through what to consider in that transition based on a ‘how-not-to’ and how to move from a quick demo to a robust, scalable AI solution.
