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

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

One of the earliest digital transformation drivers was digitalization, in which organizations converted paper-based processes to digitized workflows. In ideal circumstances, paper documents became web ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Information, without order, is chaotic. Attempting to work ...

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 ...

In recent years, the spotlight has been on unstructured data -- text, graphics, documents, IoT streams -- all streams of data that hold tremendous, untapped value. The database industry underwent a ...

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 ...

Box Apps makes it easier than ever to create no-code experiences powered by metadata New Enterprise Advanced plan delivers the full power of Intelligent Content Management in one offering “90 percent ...

Deep AI capabilities combined with Zoho's extensive suite of business apps brings unparalleled utilization of company data across the entire organization AUSTIN, Texas--(BUSINESS WIRE)--Zoho ...

Key capabilities for data and information extraction help enterprises unlock value from their documents in the age of AI and agentic automation Realizing the benefits of agentic transformations relies ...