Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data. Unlike ...

Enterprise technology vendors are racing to make AI work against the structured and relational data inside databases, data warehouses, and transaction systems.

Discovery of structured data for litigation and investigations isn’t new, however, the proliferation of enterprise-wide database solutions and the storage of unstructured data formats in structured ...

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 ...

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 ...

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 ...

Ojai, CA October 30, 2025 –(PR.com)– GenRocket, the market leader in Design-Driven Synthetic Data Generation, today announced the launch of its Unstructured Data Accelerator (UDA) — an innovation that ...

In a recent study published in npj Digital Medicine, researchers evaluated ChatGPT's ability to extract structured data from unstructured clinical notes. Study: A critical assessment of using ChatGPT ...

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 ...