Centelli

Automating Unstructured Data for Scalable, Unattended Workflows

Automating unstructured data unlocks untapped BI. See how Digital Workers execute free-form data at scale through a real ...

What are AI tarpits? Understanding the tools people are using to poison LLMs

Content creators and IP holders are getting creative in order to fight back against the LLMs that are trawling their data ...
GitHub

Document knowledge mining solution accelerator

Ingest, extract, and classify content from a high volume of assets to gain deeper insights and generate relevant suggestions for quick and easy reasoning. This enables the ability to conduct ...
InfoWorld

Addressing the challenges of unstructured data governance for AI

Large enterprises in regulated industries, especially in data-rich financial services and insurance, have invested significantly in data governance programs. Other businesses have been catching up as ...
VentureBeat

As models converge, the enterprise edge in AI shifts to governed data and the platforms that control it

As frontier models converge, the advantage in enterprise AI is moving away from the model and toward the data it can safely access. For most enterprises, that advantage lives in unstructured data: the ...
Bleeping Computer

Claude Code leak used to push infostealer malware on GitHub

Threat actors are exploiting the recent Claude Code source code leak by using fake GitHub repositories to deliver Vidar information-stealing malware. Claude Code is a terminal-based AI agent from ...
Business Wire

Unstructured Awarded $2M AFWERX TACFI to Advance Multimodal Data Pipelines and Test & Evaluation Frameworks for Generative AI

SAN FRANCISCO--(BUSINESS WIRE)--Unstructured announced today it has been awarded a $2 million Tactical Funding Increase (TACFI) contract by AFWERX in partnership with the U.S. Air Force Test Center’s ...
ascopubs.org

Development and Assessment of a Pipeline for Extracting Structured Data From Free-Text Medical Reports Using a Large Language Model

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...
Geeky Gadgets

How Google’s Lang Extract Turns Messy Documents into Trustworthy JSON and Interactive HTML

What if you could turn chaotic, unstructured text into clean, actionable data in seconds? Better Stack walks through how Google’s Lang Extract, an open source Python library, achieves just that by ...
Forbes

Using Unstructured Content For Agentic AI: A Big Enterprise Bottleneck

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Enterprises are facing key challenges in harnessing their unstructured data so they can make ...
Business Insider

The most valuable data in your company isn't missing. It's disconnected.

Roughly 80% of enterprise data sits in emails, contracts, call transcripts, and PDFs where traditional databases can't touch it. Much of this "unstructured" data isn't ignored because it lacks value, ...
MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...