There are three classifications of data: structured, semi-structured and unstructured. While structured data was the type used most often in organizations historically, AI and machine learning ...

The emerging HTML 5 specification provides for structured documents that can support rich hierarchies and enable deep interoperability.

Harder to Query: Unlike structured data, which can be easily queried in databases, unstructured data requires specialized query systems or AI models to retrieve specific information.

We look at unstructured and semi-structured data and find increasing amounts of production workloads that have their own storage hardware – file and object – needs, including flash ...

Allowing quality data in can lead to a better understanding of an organization. Read more to improve your data quality for unstructured data.

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 ...

Every time data has to be copied or rekeyed, the process slows down the supply chain and increases the risk of introducing errors. The post DDC tackles industry’s unstructured data issue with ...

Information management concerns the collection of data from any number of sources (both unstructured and structured), the responsible use thereof and the distribution of insights to decision-makers.

Unstructured data — information that doesn’t follow conventional models or fit into structured database formats — represents more than 80% of all new enterprise data.

Our results clearly demonstrate that unstructured data obtained from the clinical notes by NLP are superior to the use of structured data for determining a quantitative estimate of smoking behaviors.