Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.

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 ...

What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning? The volume of data being created today is truly staggering. IDC projects ...

Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

The untapped potential intelligence within unstructured content is driving new practices, new technologies and new roles. My team of data and analytics researchers and consultants falls into two main ...

Let's start by examining those two broad-brush data categories: structured and unstructured. Structured data refers to the data resident within relational databases, often presented via customer ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

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 ...

SAN FRANCISCO, March 7, 2019 /PRNewswire/ -- Okera, the leading active data management company for data lake security and governance, today unveiled the industry's first fine-grained access control ...

LONDON--(BUSINESS WIRE)--With access to huge troves of business-critical data, most businesses already have the data required to make effective data-driven decisions. But to unlock the true potential ...