Today's Forbes CIO newsletter focuses on using the troves of unstructured enterprise data you have, applying AI to find ...

What unstructured data means for data management The differences between structured and unstructured data mean that traditional database systems and modern AI database systems handle information ...

10. Ensure compliance while handling unstructured data. GenAI uses large volumes of unstructured data, which can contain sensitive information and be a privacy minefield.

Since it is not in a structured universal tabular format, unstructured data is much more flexible. However, the majority of data is unstructured, and it exists across an enterprise since it can be ...

For AI to deliver on its promise, structured and unstructured data must be treated as a shared enterprise asset, not the ...

This type of data is typically numeric or categorical and adheres to a strict schema, making it predictable and easier to manage compared to unstructured or semi-structured data.

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 ...

Global and national law firms face a growing dilemma: how to efficiently manage the vast volumes of unstructured data they accumulate over time—much of which cannot be deleted for legal or ...

Manual extraction of unstructured data is time-consuming and error-prone; Unstract automates this process. Upload documents, specify extraction prompts, and receive structured data in JSON format.

What’s different about Datavolo’s data pipeline model is that it leverages out-of-the-box processors to extract, clean, transform, enrich and publish both structured and unstructured data ...

“Tabular data” is a broad term that encompasses structured data that generally fits into a specific row and column. It can be an SQL database, a spreadsheet, a .CSV file, etc.