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

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

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

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.

In an article published on Business Reporter, Kristen Warner, VP Marketing at Apryse Software talks about how tools with high ...

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 ...

FICO leads five big data heavyweights as analytics, AI and predictive tools help fuel Wall Street's ongoing rally.

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

Rocket ContentEdge is the evolution of Rocket Software’s Content Services portfolio. It’s designed to help organizations unlock value from unstructured data and accelerate data modernization across ...

Tacnode Inc. today emerged from stealth mode with a new data infrastructure platform designed to enable artificial ...