Unstructured data will outpace structured data at a staggering rate, and the organizations that can best understand and interact with it will give themselves a leg up on the competition.

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.

This type of data is typically numeric or categorical and adheres to a strict schema, making it predictable and easier to manage compared to unstructured or semi-structured data.

The concept is straightforward for structured data but increasingly less so with unstructured data – not to gloss over the fact that it's still a challenging problem for structured data. For example, ...

However structured data only represents 20% of the picture. The other 80% of data - documents, call transcripts, emails, messages and order forms - is unstructured, and it is quickly becoming critical ...

In a lively and insight-packed session at the "How To Take Unstructured Data from Chaos to Clarity" Summit today, data expert Karen Lopez outlined a 7-step roadmap to help IT pros wrangle unstructured ...

Implementing AI in healthcare isn’t just about choosing the right tools—it’s about making them work in the real world.