IDC estimates that upwards of 80% of business information is likely to be formed of unstructured data by 2025. And while “unstructured” can be something of a misnomer, because all files have some sort ...

The best AI outputs are fueled by both structured and unstructured data. Structured data, by definition, has some kind of order, such as rows and columns. Unstructured data is the opposite, lacking ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

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 ...

This is a significant departure from the traditional ETL world where a single vendor could extract and transform the structured or semi-structured data because the traditional ETL process is a linear ...

There are lots of questions about unstructured data and its impact on the data enterprise. Can we start with a definition? What we're really doing is designating our data as structured or unstructured ...

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.

ORLANDO, Fla., March 9, 2026 /PRNewswire/ --BigID and Atlan today announced an enhanced integration that delivers the first and only combined solution to unify structured and unstructured data ...

Getting enterprise data into large language models (LLMs) is a critical task for enabling the success of enterprise AI deployments. That's where retrieval augmented generation (RAG) fits in, which is ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Getting enterprise data into large language models (LLMs) is a critical ...