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

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.

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

As GenAI usage increases in the corporate world, many executives will likely have to answer this question from their boards: ...

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 ...

Roughly 80% of enterprise data sits in emails, contracts, call transcripts, and PDFs where traditional databases can't touch it. Much of this "unstructured" data isn't ignored because it lacks value, ...

Jordanian authorities used an Israeli-made digital forensics system to extract personal information from mobile phones of ...

After the Blackbox anonymization, users can query and find deeply intelligent answers in their own excel, word or pdf files using Novara. Users can also generate reports from unstructured documents in ...