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

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

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

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.

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.