Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

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

Overview: LLMs help developers identify and fix complex code issues faster by automatically understanding the full project ...

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

Data without context is fragmented — it cannot be used to effectively train AI agents or set up an appropriate workflow for ...

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 ...

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

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

Find out who should, and shouldn't, use it. Fact checked by Anna Harris Reviewed by Julia A. Siegel, MD Licorice extract inhibits tyrosinase production to effectively minimize dark spots and even out ...