Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

Given that, data analytics – helped by such modern technologies as artificial intelligence (AI) and machine learning – has become a must-have capability and in 2022, the importance will be amplified.

But there’s another side to the analytics obsession that needs attention because most analytics applications and technologies are focused more on structured than unstructured data.

Unstructured data opportunities will come from two broad personas: the traditional industry and the AI-native companies.

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.

Big Data and Analytics IT Management Unlocking Value with Unstructured Data Tagging Effective data tagging enables organizations to use a small number of data descriptors or tags to organize and ...

Coupled with solid perimeter defenses, user behavior analytics is a powerful asset in the fight against data theft.

Here are five steps business and IT leaders need to ensure the safe and ethical use of AI for decision-making.

The problem with searching for a needle in a haystack is that the process, by nature, is inefficient. So why has it become a popular analogy for analytics efforts within the enterprise? Because ...

A new study from Komprise shows unstructured data growth drives demand for cloud storage, analytics and self-service.

Real-world evidence drawn from unstructured clinical notes was more accurate in algorithmic prediction of coronary artery disease than structured data, a new study in JAMIA shows.