Artificial Intelligence (AI) is transforming industries by automating tasks and generating insights, but its true effectiveness depends on high-quality, relevant data. Structured data is the most ...

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

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 ...

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 ...

What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning? The volume of data being created today is truly staggering. IDC projects ...

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.

A retailer analyzes the video feeds from its surveillance cameras to determine how customers are moving through stores and how much time they spend in front of different displays. After sifting ...

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 ...

Back in the 1990s, business intelligence (BI) initiatives often consisted of software tools applied to structured datasets (like corporate ERP) to enable more accurate analysis of past events as a ...

Structured data is a small and declining percentage of business information. But it is critically important for almost all organisations. Structured data volumes are growing more slowly than stores of ...