Structured data modeling involves creating schemas, tables, columns, keys, and relationships that define how data is stored and accessed in a relational database management system (RDBMS).

Bring order to unstructured data: If unstructured data has clinical or business value, it will benefit from normalization, which aims to make it look more like structured data. “Given the sheer volume ...

The untapped potential intelligence within unstructured content is driving new practices, new technologies and new roles. My team of data and analytics researchers and consultants falls into two ...

Natural Language Processing (NLP): AI uses NLP to process and analyze unstructured text data, such as Facebook posts and customer reviews, to extract sentiments and meaning.

What we're really doing is designating our data as structured or unstructured. Let's start with structured data, which is really data that is organized in a structure so that it is identifiable.

Developers and data scientists use generative AI and large language models (LLMs) to query volumes of documents and unstructured data. Open source LLMs, including Dolly 2.0, EleutherAI Pythia ...

Healthcare data often exists in a variety of formats, ranging from structured data, such as lab results, to unstructured formats, such as physician notes and clinical reports. By using NLP and ...

About the Author. Fern Halper, Ph.D., is well known in the analytics community, having published hundreds of articles, research reports, speeches, webinars, and more on data mining and information ...