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

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.

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 ...

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.

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 ...

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.

Recently, Shanghai Fourier Intelligent Technology Co., Ltd. announced that it has obtained a patent titled "Data Processing Method and Device for Supervised Embodied Tasks in Unstructured Environments ...