Session: Scaling Success: Transforming PoC into Large-Scale Impact through Iteration
Scaling a Generative AI (GenAI) project from a Proof of Concept (PoC) to a large-scale deployment is a journey that demands careful planning and an iterative approach. In this talk, I’ll Walk you through how to take a PoC and scale it incrementally, learning from each stage to ensure that the final solution meets real-world demands. I’ll highlight the importance of refining your model based on early feedback, optimizing performance at every step, and expanding capabilities as you go. By testing in controlled environments, gathering real-time data, and using agile methodologies, we can mitigate risks and ensure smoother transitions as the project grows. This iterative approach not only makes scaling manageable but also helps create a more robust, adaptable GenAI solution that can deliver meaningful impact at scale.
