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. Unlike ...

Traditionally, intelligent document processing relied on OCR and rule-based extraction. These methods could tell organizations what was on the page but could not tell them where on the page a ...

A significant portion of healthcare data —often cited as more than 80%—exists in unstructured formats such as clinical notes and imaging reports. In therapeutic areas such as oncology and rare disease ...

In this new construct, storage is now the foundational data conductor, and organizations that treat storage as "just there" will watch their AI ambitions—and their budgets—collapse under the weight of ...

The world in which we live and work today thrives on digital data, most of which doesn’t live in a spreadsheet or database. It is unstructured data, which means text, documents, audio and video, ...

Big data refers to large, diverse sets of information from multiple sources that can provide strategic information for ...

NEW YORK, NY - February 11, 2026 - - SageX, an AI-native enterprise data platform, today announced its position as the ...

Fundamental, which just closed a $225 million funding round, develops ‘large tabular models’ for structured data like tables and spreadsheets. Large-language models (LLMs) have taken the world by ...

Allowing quality data in can lead to a better understanding of an organization. Here are 5 steps to improve your organization's data quality for unstructured data. Image: momius/Adobe Stock Finding ...

New capability gives teams centralized visibility, intelligent search, and deeper insights into sensitive unstructured ...