Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data ...

The untapped potential intelligence within unstructured content is driving new practices, new technologies and new roles.

Quantzig breaks down the distinct differences between structured and unstructured data in its recent article.

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

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.

AWS looks to make RAG easier and automatic with new enterprise AI tools that help organizations with structured data retrieval, GraphRAG and unstructured data support.

Not only is there significantly more unstructured data out there, but in many cases, it can provide a deeper understanding than the surface-level view offered by structured data.

Data transformation indeed takes time, and despite the availability of structured data, risk adjustment teams are generally accustomed to workflows built upon unstructured data in the form of PDFs.

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

Unstructured data is any electronic file that doesn’t land in a structured platform, such as a database, where it is easy to organize and access. Government data centers are full of unstructured files ...