We’re hearing it everywhere. Machine learning and other types of artificial intelligence are the engines that will drive competitive advantage into the foreseeable future, but they have to rely on data for their fuel. Lots and lots data, but not just any data—they need high-quality, clean, up-to-date data that is accurately sourced and well managed.

One of the main challenges companies face is getting this data, and there are many reasons for that—ranging from the siloes that keep data trapped in organizations, to the fact that organizations might not be generating enough of this data or have a way to collect it in the first place. Some of the data they need might involve customer sentiment, manufacturing practices, or X-ray images.

To read this article in full, please click here