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 DataSphere 1 , 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. For enterprises to thrive in the AI era, they must find a way to make use of all of their data. This isn’t possible using traditional computing and data processing techniques. Instead, enterprises […]
Original web page at blogs.nvidia.com
