Stored unstructured data could be a black hole full of unknown risk. We look at the key dangers to compliance in unstructured data and some ways of mitigating the risks.

For example, the flow of data may be intermittent or may have limited communications capabilities, given that many mission locations are globally located. That also translates into how to keep a ...

The differences between structured and unstructured data mean that traditional database systems and modern AI database systems handle information in different ways.

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.

Today's Forbes CIO newsletter focuses on using the troves of unstructured enterprise data you have, applying AI to find ...

You should never allow data to be created on your network without knowing precisely who is responsible for it. For example, never, ever make a “public” file share that anyone can dump data into.

SAN FRANCISCO, May 28, 2025--Monte Carlo, the leading data + AI observability platform, today announced the launch of unstructured data monitoring, a new capability that enables organizations to ...

Big data is toughfor enterprises to handle, and adding to the challenge is the fact that much of it is unstructured data— business documents, presentations, log files, and social media data.

The world in which we live and work today thrives on digital data, most of which doesn’t live in a spreadsheet or database. It is unstructured data, which means text, documents, audio and video ...

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.

While raw unstructured data doesn't fit neatly in a spreadsheet or database, it holds within it the potential to glean subtle insights into voter emotions, hidden fears and unspoken desires.