Unstructured data was useless until now Vector databases and AI unlock the meaning of PDFs videos and more making 90 of the worlds info searchable NVIDIAs QDF and QVS are gamechangers AI VectorDatabases DataScience Tech NVIDIA

Well, of course, the unstructured database, the generative database. This database represents the vast majority of the world. Vector databases, unstructured data, PDFs, videos, speeches, all of the world's information, about 90% of what's generated every single year is unstructured data. Until now, this data has been completely useless to the world. We read it, we put it into our file system, and that's it. Unfortunately, we can't query it, we can't search for it. It's hard to do that. And the reason for that is because there's no easy indexing of unstructured data. You have to understand its meaning, its purpose. And so now we have AI do that. Just as AI was able to solve multi-modality perception and understanding, you can use that same technology, multi-modality perception and understanding, to go read a PDF to understand its meaning. And from that meaning, embed it into a larger structure that we can search into, we can query into. NVIDIA created two foundational libraries. Just like we created RTX for 3D graphics, we created CUDF for data frames, structured data. We created CUVS for vector stores, semantic data, unstructured data, AI data. These two platforms are going to be two of the most important platforms in the future. Super excited to see its adoption throughout the network, this complicated network of the world's data processing systems. And the reason for that is because data processing has been around a long time. And therefore...