Examples of Unstructured Data: Emails: Emails contain free-form text, attachments, and metadata like sender and receiver information, making them a common example of unstructured data.

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.

These data have become known throughout industry as “unstructured data,” a catchall term that lacks precision because much of the data included under that rubric actually have structured components.

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 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 ...

Here are five steps business and IT leaders need to ensure the safe and ethical use of AI for decision-making.

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?

Unstructured data can help companies gain a better understanding of their customers and their business. So why aren’t more organizations taking advantage?

Effective data tagging enables organizations to use a small number of data descriptors or tags to organize and optimize huge amounts of information.