Commentary - Big data, unstructured data, semi-structured data. Data is all over the technology news, and for good reason. It is overwhelming most organizations; requiring new ways to operate to ...

As unstructured data is used in more business decisions and ops, ML-based quality controls help ensure your data is accurate and useful.

For example, new systems are increasingly capable of analyzing unstructured data, and aggregating all of the relevant data points into a unified whole. What does this mean for privacy?

Some data sources lack predictable order, but this doesn’t mean they aren't useful. Some AI scientists specialize in making sense of this unstructured data.

Unstructured data might seem complex to use; but, it actually is far simpler. This is because it eliminates the time required to model, analyze, and create the pre-packaged audience segments prior ...

Unstructured data is still ungovernable, a new survey finds. But enterprises are going to have to reckon with new forms of information in its many forms.

Contending with unstructured data is no longer a priority reserved for the most well-financed, IT-savvy organizations, like Google and Facebook. As the world’s data continues to increase at nearly ...

It’s time to put unstructured data in the spotlight. Having the ability to process unstructured data should be an integral part of your business, no matter what kind of business you are.

Unstructured data cannot always be handled in real time either. Clear rules should be defined around which data needs to be handled in which order. If the data is directly relevant to revenue then ...

In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...