An SQL database might hold name, date of birth, address, etc, but analysing unstructured data – via making it semi-structured – can get closer to what consumers think.

The untapped potential intelligence within unstructured content is driving new practices, new technologies and new roles.

Aashish Mehta: Unlike structured data, which can be easily stored in databases and queried with standard SQL commands, unstructured data requires advanced tools and techniques for processing.

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.

Unstructured data is created at an incredible rate each day and with the advent of artificial intelligence and machine learning tools to gather, process, analyze and report insights from ...

Unlocking the value of unstructured data is the key to the future of financial services. While banks, financial institutions and other capital markets participants continue to innovate to meet the ...

Their presentation at Data Summit 2016 focused on approaches and advantages of combining the two to uncover knowledge buried in unstructured information. “Enterprise search helps users find and ...

In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...

Data center management often lacks efficiency due to unstructured data, hindering analysis and leaving room for critical issues to arise unexpectedly. This inefficiency can lead to costly downtime and ...