I really appreciate how you’ve articulated the potential of Generative AI in the investor relations context.

Generative AI is undoubtedly poised to redefine efficiency in core finance functions. From investor relations to compliance, forecasting, and even strategic decision-making, its potential to augment human expertise is immense. However, realizing this requires not only robust model training but also thoughtful integration of domain-specific knowledge bases and strict governance over data accuracy.

I’ve been an avid consumer of Generative AI models like OpenAI, Claude, Perplexity, and others. While I agree that conceptually it is very much possible to build such a model, training it to provide accurate answers without hallucinations is a daunting task. This is where a Retrieval-Augmented Generation (RAG) approach can play a pivotal role.