We look at how to gain structure from unstructured data, via AI/ML analytics to create new records, selecting object data via SQL and storing unstructured files in NoSQL formats.

According to realtimecampaign.com, unstructured data comes with no identifiable structure and lacks conformity to any data model, which is why computer programs struggle to use it.

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.

Digital Reef's unstructured data management platform aims to deliver a powerful and unique approach to "bringing order to content chaos". Here's a summary of all the features it offers.

As a team, we’re all working on data. But we think and operate in separate orbits because structured and unstructured data live in different systems and provide different insights.

Ironically, only 20 percent of data in any organization is structured, rest remains unstructured. The alarming fact is that these unstructured data is integral for any organization. ...

As some of the latest advances in unstructured data management illustrate, this is not only a matter of storage but of deep-dive data analysis and conditioning. According to Gartner, object storage ...

Unstructured data is complicated compared to working with structured data - Finding the insight buried within unstructured data is challenging. It requires a high level of technical and analytics ...

This step involves using OpenAI technology to process the unstructured data and convert it into structured data. Next, you’ll need to provide the model name GPT-3.5 Turbo.

Today, fierce competition is forcing companies to be smarter—to leverage all enterprise content assets, uncover valuable information hidden in multiple systems and from structured and unstructured ...