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

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 ...

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

Iterative, the company dedicated to streamlining the workflow of AI engineers and creator of widely-used open-source projects in MLOps, is announcing the upcoming release of Data Chain, the new open ...

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.

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by legal AI agent software ...

Novel Use and Value of Contrast-Enhanced Susceptibility-Weighted Imaging Morphologic and Radiomic Features in Predicting Extremity Soft Tissue Undifferentiated Pleomorphic Sarcoma Treatment Response ...

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

Entity resolution (ER) aims to identify and match records referring to the same entity from multiple data sources, which is a ...

Unstructured data sprawl happens when organizations accumulate massive amounts of files -- like documents, images, videos, emails, and backups -- across different systems, locations, and users with ...

If you have ever found yourself spending hours sifting through piles of PDFs, DOCX files, and CSVs, manually extracting the data you need. It’s tedious, right? I’ve been there, and I know how ...