So, for example, an organisation might run AI/ML against a set of apartment rental ad images and seek ... That entails analysis of unstructured image data to create structured fields that can ...

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. Because of its complex ...

One research firm estimated that the volume of data ... of using structured and unstructured data together is the ability to craft new kinds of searches, recombining data over and over to find new ...

The Databricks Inc.- and Snowflake Inc.-backed startup says its new Unstructured Data Monitoring tool gives enterprises an ...

For years, structured ... Thus, unstructured data requires a much different approach to processing and management. Taking a deeper look at semantic complexity, consider three different photos ...

A classic customer survey, for example, may have a structured rating scale along with its unstructured free-text responses. Because the unstructured data doesn’t fit neatly, its day-to-day ...

Monte Carlo, the leading data + AI observability platform, today announced the launch of unstructured data monitoring, a new capability that enables organizations to ensure trust in their unstructured ...

Structured data lacks the richness and depth that unstructured data (such as text, images, audio ... toward innovating with generative AI. For example, generative AI models are especially adept ...

Every enterprise has many documents and images, probably the most common unstructured ... to gloss over the fact that it's still a challenging problem for structured data. For example, unstructured ...

To improve how businesses use unstructured data, leaders should follow a series of steps that begin by addressing ...