“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Matthew Keylock, SVP, Media Partnerships ...

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 ...

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.

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?

Unlock the potential of unstructured data with AI tools that enhance RAG agents, improve accuracy, and simplify data-driven ...

The unstructured data problem In the fast-paced world of financial services, few challenges are as persistent or as costly as the management 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.

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

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 ...