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 ...

“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.

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.

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, ...