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 ...

Structured data, such as names and phone numbers, fits neatly into rows and columns. Unstructured data, however, has no fixed scheme, and may have a highly complex format such as audio files or web ...

If multimodal AI support is the architectural challenge of 2026, then the convergence of structured and unstructured data is its operational twin – and the organizations that solve it will create AI ...

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 ...

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 ...

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 ...

BigQuery ObjectRef is now GA. Combine unstructured data with Gemini to build powerful multimodal analytics and conversational agents using SQL.

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

SEATTLE, March 31, 2026--(BUSINESS WIRE)--The Rise in Unstructured Data and AI Security Risks, a new survey report from the Cloud Security Alliance (CSA), the world's leading not-for-profit ...

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 ...