When a conversation turns to analytics or big data, the terms structured, semi-structured and unstructured might get bandied about. These are classifications of data that are now important to ...

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In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...

Data that can be immediately identified within an electronic file such as a relational database that is structured in rows (records) and columns (fields). For example, to retrieve the name of a city, ...

Business information is mostly generated by systems or people. Data from systems is most likely to be structured. In its traditional format, this is most typified by data in relational databases that ...

For all the hype about data (how many times have you heard “data is the new oil”?), a shocking number of business leaders are missing out on their biggest data asset. The spotlight has been on ...

In our initial article we examined the lesser-discussed but quickly expanding use of generative artificial intelligence (gen AI) systems that leverage large language models (LLMs) to query data stored ...

For patient care, preservation of structure and context is critical, from the data entry form (DEF) through all downstream clinical reports. Centralized standardization of data entry fields during the ...