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 ...

Tarsal, the pioneering force behind advanced security data movement, is proud to announce a major enhancement to its groundbreaking open-source project, kflow. This extended Berkeley Packet Filter ...

This integration allows organizations to efficiently transform unstructured data—such as documents and contracts—into structured data, thus enhancing the value and reliability of AI-driven ...

Get structured with your unstructured data. Early adopters who use big data for business insights are already looking ahead to the next thing it enables – cognitive computing.

We see IBM and its watsonx.data portfolio taking leaps and bounds to bring together several essential tools, from integration of pipelines, to intelligence in unstructured and structured data, to ...

Structured and unstructured data create similar challenges. Put aside the emergence of generative AI for the moment. The foundational challenges of data management that cut across both structured ...

According to McKinsey, businesses have always relied on structured data to drive operations and decision-making, like SKUs, transactions, financial records, and product specifications. Yet, this ...

The genetic data documented in the EHR may be misclassified, in part because tumor and hereditary cancer genetic testing are sometimes performed for the same patient, 26 and because the distinction ...

Unstructured Data Monitoring lets enterprises extract insights and identify issues from the vast volumes of unstructured data stored in their data warehouses, data lake, and cloud storage locations.