The end of the unstructured data problem perfectly encapsulates the transformative benefits and potential risks of agentic AI ...

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.

Anomalo Inc. today launched a new tool that aims to help enterprises keep check on the unstructured information that’s becoming critical to the success of artificial intelligence systems. The ...

Enterprise AI is only as good as the data that is available to a model. In the past, enterprises largely relied on structured data. With the rapid adoption of generative AI, enterprises are ...

Data observability firm Monte Carlo Data Inc. is turning its attention to unstructured information, introducing a new capability that will allow enterprises to monitor the enormous volumes of text, ...

Unstructured data needs to be prepared and curated so that only the right data is fed to AI, thus improving AI accuracy and ROI. Preparing unstructured data requires enriching the metadata through a ...

On a recent executive outreach call, a leader from a large enterprise shared how their 120,000 users were actively involved in improving data quality across the organization. Intrigued, I reviewed ...

A company’s content lies largely in “unstructured data”—those emails, contracts, forms, Sharepoint files, recordings of meetings and so forth created via work processes. That proprietary content makes ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Learn how to optimize data migration projects for unstructured data movement and transformation. This guide can help you maintain data quality while reducing the time and effort it takes to manage ...

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 ...