Why Enterprises Need AI Query Engines To Fuel Agentic AI
NVIDIA News, Tuesday, January 7th, 2025
AI query engines efficiently process, store and retrieve large volumes of data to enhance generative AI model inputs.
Data is the fuel of AI applications, but the magnitude and scale of enterprise data often make it too expensive and time-consuming to use effectively.
According to IDC's Global DataSphere1, enterprises will generate 317 zettabytes of data annually by 2028 - including the creation of 29 zettabytes of unique data - of which 78% will be unstructured data and 44% of that will be audio and video. Because of the extremely high volume and various data types, most generative AI applications use a fraction of the total amount of data being stored and generated.