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

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

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

Artificial Intelligence (AI) is transforming industries by automating tasks and generating insights, but its true effectiveness depends on high-quality, relevant data. Structured data is the most ...

In the past ten years, unstructured data has surged, along with its various applications. It’s expanding and getting more complicated. As reported by Statista and IDC, the total amount of data created ...

Unstructured data isn’t an asset by default — it’s a liability until CIOs govern, lifecycle and curate it for AI-ready value.

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

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

In this special guest feature, Scott Lucas, Head of Marketing at Concentric, suggests that compliance is a complex topic, and in this article he addresses the surface of what you’ll need for your ...

IBM and Venetica this week announced a partnership designed to help customers more easily access and work with both unstructured and structured information through a single SQL-based query. The ...