Digital Reef plans to manage unstructured and semi-structured data, that is data not already managed by database management systems, by helping large enterprises deal with key business issues that ...

Semi-structured data is here to stay, and it offers the potential for business advantage to companies that know what to do with it. Mark Whitehorn has advice on how to do that.

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.

Data Loss During Conversion: When converting unstructured or semi-structured data into structured formats, valuable context or details may be lost.

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data.

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 ...

What we're really doing is designating our data as structured or unstructured. Let's start with structured data, which is really data that is organized in a structure so that it is identifiable.

Allowing quality data in can lead to a better understanding of an organization. Here are 5 steps to improve your organization's data quality for unstructured data. Image: momius/Adobe Stock ...

Analysts at Gartner (gated) estimate that upward of 80% of enterprise data today is unstructured. This is a big data problem, to say the least.

Despite the rise of unstructured data and advancements in AI's ability to process it, structured data is poised to play an increasingly important role in the future of legal AI as it is built in ...