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

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.

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 ...

We talk to Nasuni founder and chief technology officer (CTO) Andres Rodriguez about the characteristics needed from storage to make optimal use of unstructured data in the enterprise, as well as the ...

We've all heard the explanations for why AI projects fail: the models aren't advanced enough, they don't remember past interactions, they hallucinate answers — the list goes on. However, those ...

It's not just a mess -- it's a security risk, a compliance hazard, and a missed opportunity. That was the message from data evangelist Karen Lopez during the June 27 session of the "How To Take ...