OK, so let’s set the stage. You are relying on your vast amounts of unstructured data to feed your generative AI and retrieval-augmented generation (RAG) projects. But this unstructured data is a mess! It’s been mostly dormant, spread across silos in your organization. You have no idea what’s in it, and most likely there’s a lot of nonvaluable redundant, obsolete, and trivial data that can reduce the accuracy and usefulness of GenAI or RAG responses. You might also have sensitive and personal data in there that should not, by law, be improperly exposed […]