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.

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?

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.

By utilizing AI tools such as LlamaParse, Docklin, and Mistral OCR, businesses can convert chaotic unstructured data into valuable insights. These tools support a variety of file formats and ...

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 ...

Applying gen AI to solve useful problems at scale requires a paradigm shift in how we think about data management and integration. Krishna Subramanian, COO and co-founder of Komprise, walks through ...

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.

Data that falls outside of this scope has been referred to as unstructured data. Common examples of unstructured data include word processing documents and spreadsheets.

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.