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 ...

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 ...

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 ...

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 ...

Snowflake Intelligence spans structured and unstructured data from a variety of services. Snowflake's new AI agents make it easier for businesses to make sense of their data | ZDNET X ...

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.

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 ...

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 ...