Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

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. Unlike ...

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

Artificial Intelligence (AI) is transforming industries by automating tasks and generating insights, but its true effectiveness depends on high-quality, relevant data. Structured data is the most ...

Unstructured data comprises 80% of total data volume for legal organizations, which means that on average, only one-fifth of the entirety of the data set is properly secured and actively managed.

Let's start by examining those two broad-brush data categories: structured and unstructured. Structured data refers to the data resident within relational databases, often presented via customer ...

Unstructured data isn’t an asset by default — it’s a liability until CIOs govern, lifecycle and curate it for AI-ready value.

Rocket ContentEdge is the evolution of Rocket Software’s Content Services portfolio. It’s designed to help organizations unlock value from unstructured data and accelerate data modernization across ...

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 Finding ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

The Data Cloud has rightly been one of Salesforce’s biggest product focuses this year. As the company’s World Tour series of events hit New York yesterday, the latest news was that it will soon be ...