Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...

The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...

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

What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning? The volume of data being created today is truly staggering. IDC projects ...

What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...

An AI platform developed by MIT alumni is helping businesses unlock the value of unstructured visual data by automating tagging, search, and analytics across images, video, and audio. Coactive is an ...

IDC estimates that upwards of 80% of business information is likely to be formed of unstructured data by 2025. And while “unstructured” can be something of a misnomer, because all files have some sort ...

Governments, industries and individuals alike all report feeling overwhelmed by the rising tide of data. How big is the challenge? One research firm estimated that the volume of data/information ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.