Data is structured or unstructured depending on the format and schema it is based upon. A schema describes the organization and storage of data in a database and defines the relationship between ...

The structured data landscape has undergone significant transformation in 2024, driven by the rise of AI-powered search, the growing importance of machine-readable content, and the need to ground ...

As AI continues to dominate the technology landscape, the data underlying the information these artificial intelligence solutions train on is under more scrutiny than ever. Here, data professionals ...

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 ...

Google revamped their product structured data documentation by splitting up one comprehensive page into three pages that are more closely focused on their topics, providing an example of how to ...

In life science research, data comes in many forms - structured clinical trial tables, semi-structured instrument outputs, and unstructured lab notes or images. This “variety” makes it difficult to ...

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Over the past decade, the data boom has created exciting strategic opportunities for adaptive companies and enabled the development of entirely new enterprises. This wave was the result of the ...

The second part of this three-part series explores trends in data structuring, including what unstructured data is and how the legal industry is working to move from unstructured to structured data.

Data integration is a leading priority for enterprise executives, with 82% of senior executives considering scaling AI a top priority. However, this ambition is frustrated by the longstanding practice ...