Big data refers to large, diverse sets of information from multiple sources that can provide strategic information for ...

The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...

When leaders think about data, structured data—such as payment amounts, invoice processing dates and customer names—likely crosses their minds first. Because structured data is objective, it’s ...

Multimodal data pipeline startup Datavolo Inc. today revealed its ambitious plans to transform the way data is fed into artificial intelligence systems, after closing on more than $21 million in ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

Applying gen AI to solve useful problems at scale requires a paradigm shift in how we think about data management and integration. Krishna Subramanian, COO and co-founder of Komprise, walks through ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Information, without order, is chaotic. Attempting to work ...

Let's start by examining those two broad-brush data categories: structured and unstructured. Structured data refers to the data resident within relational databases, often presented via customer ...

A sample of 4,615 adult patients were randomly selected from the Multiparameter Intelligent Monitoring in Critical Care (MIMIC-III) database. The structured data were obtained by queries of the ...

In this special guest feature, Scott Lucas, Head of Marketing at Concentric, suggests that compliance is a complex topic, and in this article he addresses the surface of what you’ll need for your ...