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

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 ...

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

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.

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.

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 ...

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 ...

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've all heard the explanations for why AI projects fail: the models aren't advanced enough, they don't remember past interactions, they hallucinate answers — the list goes on. However, those ...

Learn how to optimize data migration projects for unstructured data movement and transformation. This guide can help you maintain data quality while reducing the time and effort it takes to manage ...

Unstructured, the leader in AI-ready data orchestration, today announced it has achieved FedRAMP High authorization. This milestone affirms Unstructured's commitment to delivering secure, scalable, ...