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

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

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 ...

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 ...

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.

Applying gen AI to solve useful problems at scale requires a paradigm shift in how we think about data management and integration. Krishna Subramanian, COO and co-founder of Komprise, walks through ...

Unstructured data sprawl happens when organizations accumulate massive amounts of files -- like documents, images, videos, emails, and backups -- across different systems, locations, and users with ...

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

Like many of you, I regularly incorporate AI tools to keep up with marketing and martech trends. They provide me with summaries and extract insights that I either agree or disagree with. While ...