Generative AI is powerful out of the box, but its true enterprise value comes from tailoring models to specific organizational needs. This panel will explore the spectrum of customization strategies, from lightweight prompt engineering and retrieval-augmented generation (RAG) to full-scale fine-tuning and domain adaptation. Panelists will share real-world use cases where companies have successfully aligned frontier models with industry-specific data, compliance requirements, and customer contexts. The discussion will also cover emerging tools, platforms, and vendor approaches that make customization accessible while managing cost and complexity. Attendees will walk away with a clear understanding of how to choose the right customization path for their projects and maximize ROI from generative AI.
