Many organizations implementing generative AI find themselves trapped in “proof-of-concept purgatory,” unable to transform promising experiments into production-ready solutions. This talk provides a practical roadmap for overcoming critical challenges in AI engineering for enterprises through a “full-stack” approach to generative AI.

We’ll explore strategies for managing project scope, enhancing accuracy through domain-specific models and graph-based RAG, and navigating web development intricacies in AI applications. Using real-world examples, we’ll demonstrate how these elements come together.

Attendees will gain a clear framework for tackling core challenges in AI engineering for enterprises, empowering them to escape proof-of-concept purgatory and deliver AI systems that drive tangible business value.