The promise of interoperability remains a distant goal, but newer technologies like AI and natural language processing, combined with older technologies such as optical character recognition (OCR), ...

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

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 ...

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 ...

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.

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 ...

MIAMI, Oct. 17, 2025 /PRNewswire/ -- Fourier Health, a leading clinician-in-the-loop AI platform that streamlines and consolidates patient clinical data into use-case specific summaries to reduce ...

Unstructured data is reshaping AI data platforms as enterprises confront latency, scale and access challenges across hybrid ...

Ataccama, the data trust company, is making its unified data trust platform, Ataccama ONE, on the Snowflake Marketplace, including an integration with Document AI—enabling enterprises to turn ...

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 ...