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

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

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.

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

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 ...

Learn how to improve the governance of unstructured data. Keep data organized for better use, and ensure the effective and efficient use of information. Businesses have to govern their data to keep it ...

Large language models (LLMs) such as OpenAI’s GPT-4 are the building blocks for an increasing number of AI applications. But some enterprises have been reluctant to adopt them, owing to their ...

We talk to Nasuni founder and chief technology officer (CTO) Andres Rodriguez about the characteristics needed from storage to make optimal use of unstructured data in the enterprise, as well as the ...

Unstructured Data Cleanup is an information governance practice focused on the permanent deletion of information that is no longer of use to the business. Using a scanning and classification tool, ...

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 ...