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 ...

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 ...

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.

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.

“Properly curating unstructured data [in this way] is essential because it allows AI models to access and process the information accurately, leading to better insights and results,” Petrov said.

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

In this way, data-based collaborative communities can share knowledge across Hadoop, Spark and other Big Data platforms, adding still more sources of unstructured information that must be captured, ...