Structured Outputs use cases would fit within the augmentation tier of the Agentic AI Value Pyramid, 11 leading to early wins ...

Structured data traditionally exists in relational databases such as SQL and more simply, Excel. Unstructured data refers to data that does not easily fit into databases and includes Word ...

Unlike structured data, which fits neatly into rows and columns in a database, unstructured data is usually in its raw form, often comprising text, images, audio, or video.

Tom Sabo, principal solutions architect at analytics giant SAS, says the one-two punch of predictive modeling on structured data, and text mining with unstructured data, can deliver insights that are ...

Some data sources lack predictable order, but this doesn’t mean they aren't useful. Some AI scientists specialize in making sense of this unstructured data.

For researchers, understanding unstructured data paves the way for the development of more sophisticated care standards, ones that are based on cause-and-effect patterns across enormous data sets.

Even as many companies continue to struggle with structured data, Feldman says that some forward-thinking firms are increasingly aware of the benefits to be uncovered from unstructured data. According ...

Lexalytics brings two decades of structured and unstructured data experience and state-of-the-art cloud and on-premise text analytics solutions that go beyond surveys to include social, call ...

As part of this new normal, unstructured collaboration has been on the rise. Work produced through unstructured collaboration travels through space and time in text messages, Slack messages, video ...