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 ...

For example, unstructured data could be as simple as MP3 file tags listing artist, date, genre, etc. But going a layer deeper, it could also be about describing the entities mentioned in unstructured ...

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 exists in huge volumes, but often actually it is semi-structured with metadata. We lift the lid on unstructured data and key approaches to its storage.

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.

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

How to manage unstructured data for business benefit The cloud offers some progress in the resource-sapping management of unstructured data, but it is critical to work back from the business case.

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.

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.

By harnessing unstructured data - like imaging and waveforms - alongside traditional structured data, we can gain a more comprehensive understanding of how GLP-1s are affecting diverse populations.