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.

Exploiting unstructured data This raises some issues for organisations that need to process and exploit unstructured data.

Subramanian says: This is the new world of unstructured data and AI, and it requires an entirely different architecture from the traditional relational-driven linear processing systems. My take ...

Unlock the potential of unstructured data with AI tools that enhance RAG agents, improve accuracy, and simplify data-driven ...

According to Mehta, nRoad’s new platform eliminates the need to train and process various unstructured data separately, offering a singular interface (API) to perform any downstream tasks.

Step: 1 Clean Your Data Junk data is part of life, especially with qualitative (text-based) data. Before you hit “upload” to your analytics platform, find and strip out low- or no-value data. You’ll ...

About 90% of data is unstructured, and most of it comes from a plethora of sources such as emails, text files, pictures, videos, news, etc ...

Companies must find ways to automate and simplify the process of archiving files and e-mail messages. ECM software addresses this large pool of unstructured data.

Sure, you've got lots of information. Your servers are full of information. The problem is, how do you deal with it? W.H. Inmon, the father of data warehousing, provides some thoughts on that.

Most businesses understand there's a lot of value lurking in their unstructured content, but they struggle with how to process it efficiently.