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 ...

As technology and regulations evolve, enterprises need to address data governance throughout pipelines, models, and AI agents ...

A sample of 4,615 adult patients were randomly selected from the Multiparameter Intelligent Monitoring in Critical Care (MIMIC-III) database. The structured data were obtained by queries of the ...

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.

Komprise, the leader in analytics-driven unstructured data management, today announces a new patent that addresses common issues with under-utilization of expensive resources such as GPU, memory and ...

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 ...

Overview: Unstructured data holds a large amount of information, yet remains the least used, making it the biggest growth ...

Chicago-based startup removes barrier between raw, unstructured data and the tools analysts already use, making every ...

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 ...

The past half-decade has been a period of notable acceleration for enterprise data. Organizations of all sizes have poured billions of dollars into acquiring, storing and analyzing first-party data to ...

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 ...