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.

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.

Documents are another example of unstructured data. Although a Word document has some formatting attached to it, the content of the document is completely free form.

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.

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?

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.

Having access to this data gives you valuable insight into where your company is doing well or falling short, empowering you to take steps to address bias within your organization.

Examples include physicians' notes in EHRs, emails, text files, photos, videos, call transcripts and recordings, and business chat apps. Unstructured data can make up upward of 80% of data within a ...

Allowing quality data in can lead to a better understanding of an organization. Read more to improve your data quality for unstructured data.