AI thrives on data. The more data it can access, and the more accurate and contextual that data is, the better the results will be.
The problem is that the data volumes currently being generated by the global digital footprint are so vast that it would take literally millions, if not billions, of data scientists to crunch it all — and it still would not happen fast enough to make a meaningful impact on AI-driven processes.
This is why many organizations are turning to AI to help scrub the data that is needed by AI to function properly.
According to Dell’s 2021 Global Data Protection Index, the average enterprise is now managing ten times more data compared to five years ago, with the global load skyrocketing from “just” 1.45 petabytes in 2016 to 14.6 petabytes today. With data being generated in the datacenter, the cloud, the edge, and on connected devices around the world, we can expect this upward trend to continue well into the future.