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 ...

We are in the midst of an unstructured data revolution – with 80% of data likely to be unstructured by 2025, according to IDC. The rise of advanced analytics and in particular artificial ...

LONDON--(BUSINESS WIRE)--With access to huge troves of business-critical data, most businesses already have the data required to make effective data-driven decisions. But to unlock the true potential ...

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 ...

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 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.

With structured data, data fields are aligned side-by-side in fixed record lengths, with specific data fields appearing at static locations within each record. Unstructured data does not contain a set ...

If it were up to most enterprise executives today, they would already have production-level Big Data and Internet of Things (IoT) infrastructure in place. Too bad it’s not that simple. It turns out ...

Most companies today are building their AI strategy around structured data because unstructured data is operationally hard.

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 ...