Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Enterprises are facing key challenges in harnessing their unstructured data so they can make ...

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 ...

Extract data and apply schemas across your multi-modal content, with confidence scoring and user validation enabling greater speed of data ingestion. Process claims, invoices, contracts and other ...

The Snipping Tool in Windows is a useful built-in tool that lets you capture screenshots, but did you know it can also be used to extract text? With a bit of creativity and the right steps, you can ...

Background: Global clinical trials collect extensive unstructured medical records that richly describe participants’ clinical presentation, but their narrative format precludes quantitative analysis.

Background: Preventive cardiology relies on a comprehensive view of patient health, including biomarkers and imaging findings. However, critical data, such as coronary calcium scores (CCS) and ...

The final, formatted version of the article will be published soon. Background and objective. Structured clinical data is essential for research and informed decision-making, yet medical reports are ...

We talk to Nasuni founder and chief technology officer (CTO) Andres Rodriguez about the characteristics needed from storage to make optimal use of unstructured data in the enterprise, as well as the ...